AI/ML News & Innovations Hub

OpenAI still doesn’t seem to have a handle on all of its rogue AI activity

On Friday, OpenAI published a new site devoted to “misalignment reports” and the breadth of the incidents is alarming.

KIDS Act: Do Europeans support banning social media for children?

Some 91% of Europeans agree on tightening social media regulation for children, with a blanket ban emerging as the most widely backed measure.

Gates Says Self-Regulation Isn’t Enough on AI, in a Debate Where Africa Has Already Taken a Side

Microsoft co-founder Bill Gates has called for US legislation on AI safeguards, arguing that industry self-regulation is insufficient — in a debate South Africa has spent the past fortnight arguing from the other side of the world. “You need law enforcement and the politicians to get into the discussion about what safeguards and monitoring look [...]

Ireland’s GDPR regulator will still be investigating when AGI arrives

Ireland’s cross-border GDPR cases take a median 6.2 years to decide. Forecasters give strong AGI better than even odds of arriving first. The EU’s AI Act is built to be enforced the same way. data/code TLDR : The median cross-border case takes 6.2 years (counting still-open investigations). 66% of the 2018-2020 cross-border cases were still open at 4.5 years. Metaculus’s median forecast for strong AGI is 4.5 years out . If AI Act cases take as long, strong AGI will probably arrive before they close, so oversight has to happen before a model ships. Under the GDPR, cross-border enforcement is led from the country where a company has its EU headquarters , and most of big tech ( OpenAI and Anthropic included) has theirs in Dublin. That makes Ireland’s Data Protection Commission (DPC) the primary privacy regulator for the tech industry in Europe. Since data protection law is one of the main ways tech companies are regulated, the DPC’s record is approximately the best evidence there is on enforcement speed. The question matters beyond privacy, since the EU’s AI Act and most of the new American state AI laws are set up to be enforced similarly, with investigations, fines, and appeals. [1] To assess this, I compiled the 69 investigations with published or announced final decisions under the Data Protection Act 2018, from August 2019 through September 2026, and measured each one from formal commencement to final decision. Then I compared the durations to forecasts of when artificial…

From Australia? Consider Contacting Your Representative to Express Concern Over OpenAI Attack

Recently, an OpenAI agent allegedly hacked into a website run by the Australian governmen t, apparently in order to access statistical data. While the hack did not seem to compromise any Australians ' personal data, it has obviously consumed a good deal of time of Australia's public servants and exposed the irresponsibility of OpenAI, who took more than a month to disclose the incident by using a public inbox, an inappropriate response by one of the most influential conglomerates in the world. Currently, the Australian government is mulling over how to respond, as while this recent July attack thankfully did not result in any major harm to Australian citizens, a future hack could be far more impactful, and unless OpenAI is given more direct incentives to prevent such behavior from its agents, a harmful attack by one of them will be more likely. Furthermore, laws are already on the books for humans who hack into government systems without permission. If a human took similar actions as the OpenAI agent allegedly took, they would be facing up to two years in prison . Furthermore, beyond Australia itself, such a response could help set an international precedent for establishing liability for AI corporations whose AI agents cause harm. Australia is a developed, English-speaking country, which helps to give its actions relevance on the global stage. Furthermore, due to recent events, more of the world is paying attention to AI governance than ever before, so right now is as good…

Dario Amodei to have dinner with President Trump in a rare meeting

The meeting comes as Amodei's calls for government regulation of AI companies have fallen flat.

Bill Gates says unchecked AI could ‘cause a billion deaths’ in call for regulation

Microsoft co-founder and philanthropist speaks with NBC’s Kristen Welker in interview airing on Sunday Bill Gates has called on the US’s federal legislators and law enforcers to regulate the development of artificial intelligence ( AI ), saying in an interview airing on Sunday that the technology left unchecked could cause “a billion deaths” and “no one thinks self-regulation is enough”. “You need law enforcement and the politicians to get into the discussion about what safeguards and monitoring look like,” the Microsoft co-founder and philanthropist said to Kristen Welker, the NBC Meet the Press host. “And that has to be a required thing.” Continue reading...

Hong Kong can offer AI governance solutions for major economies: Paul Chan

Hong Kong can offer trusted solutions in artificial intelligence (AI) governance for major economies by leveraging the city’s unique strengths, including its common law system, internationally connected standards and professional services, the city’s finance chief has said. “As major economies begin discussing AI governance, data, compliance and risk management, Hong Kong can leverage its unique strengths in providing ‘rules’ and ‘trust’,” Financial Secretary Paul Chan Mo-po wrote in his weekly...

The AI debate is already shaping the 2028 election. Here’s where Democratic hopefuls stand

Debates over AI development, regulation and datacenters have become buzzy topics for US presidential candidates The debate over artificial intelligence development, how to regulate it and the construction of datacenters that power the technology has become a buzzy topic for potential 2028 Democratic presidential candidates. Already, concerns were mounting over the environmental and energy impact of datacenters, which consume vast amounts of resources to power AI. But worries about the rapid development of AI came to a head in mid-September when tech executives issued a flurry of dire warnings that the technology could harm humans. Continue reading...

Bill Gates warns AI is 'powerful enough to drive events that cause a billion deaths'

The cofounder of Microsoft made grave predictions about AI and voiced support for government regulation of the sector.

Foundational premises of advanced AI

My goal here is to establish a shared baseline (or model) for thinking about AI. I've found that disagreements about AI policy/governance/alignment will often trace back to unstated divergence on base-level facts. A. Machine Learning - how can AI models do things we didn't program them to? Modern AI models are not programmed behaviour-by-behaviour. Engineers write the code that governs the process by which a network of parameters finds associations between data that it is given ("learns"). A model's behaviour is learned from data and feedback rather than explicitly coded. In this way we can produce useful ("intelligent") behaviour without knowing how to program it directly. Machine learning is a deceptively simple mix of: algebra and huge amounts of data. This enables AI models to improve at predicting patterns in training data. The process is akin to teaching through trial & error. Where a lot of clear examples are used, AI models perform very well. Anything that can be measured (even poorly) can become the basis of training an AI model (i.e. specified as an objective or provided as a feedback signal). B. Scaling - why might AI models continue improving quickly? AI Models improve with better data, compute, or algorithms (the AI triad). We don't know the upper limits of current architectures. The "bitter lesson" in ML is that more compute tends to beat attempts to hard-code human knowledge. In the short term there are practical (physical and economic) limits (e.g. how quickl…

AI governance is fast becoming an unmanageable chore

AI adoption in the enterprise is way up — and so too are IT leaders, into the night, dealing with the risks and governance issues of AI use. To be sure, increasing attention to AI governance is a welcome addition to enterprise AI strategies, shifting an anything-goes approach toward risk-aware plans of action directed toward value. But it’s also taking an unspoken toll on those responsible — with the challenges of agentic AI mounting fast. Not only are four in five senior business decision-makers, including CIOs, CISOs, and CDOs, using more of their day to manage AI risk, but their working hours are up 26% on average due to the issue, according to a new survey released by AI governance platform vendor OneTrust. Contrast that to recent findings from Boston Consulting Group, which found that 42% of frontline employees who regularly use AI save nearly a full day of work each week, the majority of whom are given no guidance on what to do with that time saved , and you get an organizational picture of rampant activity, questionable direction, and lots of high-salaried time spent on cleanup and oversight. Much of leaders’ extra time spent on managing AI risk is due to an increased awareness of AI risk and governance , IT leaders and industry observers say, but triage and other factors play a significant role as well. For example, a third of respondents to OneTrust’s survey say they’ve seen employees use unapproved AI because approved tools or processes weren’t available quickly en…

Could the EU AI Act deter 'housefishing' in European real estate?

AI-enhanced images in real estate listings are emerging across Europe. The new EU AI Act aims to help transparency.

‘We Didn’t Interrogate the Bibliography’: Malatsi on the AI Policy Collapse, and a Redraft Now Slipping to March 2027

Communications and Digital Technologies Minister Solly Malatsi has given the clearest account yet of how South Africa’s draft National AI Policy came to be published with fabricated citations — and set a later deadline for its replacement than his department previously told Parliament. Speaking to Daily Maverick at GovTech 2026 in Durban, Malatsi said his [...]

Lesotho adopts UN AI blueprint; South Africa targets March for new AI policy

Africa AI News weekly digest...

‘We can’t ignore AI or prevent it,’ Anthony Albanese tells UN general assembly – video

During his speech to the UN in New York City, the Australian prime minister addresses the AI hack of Medicare, saying the episode reflects the need for greater regulation of artificial intelligence. ‘We can’t ignore AI or prevent it. And it’s why we joined with other nations this week to call for action to shape artificial intelligence development, rather than be passively shaped by it,’ he says. Albanese also used the speech as a pitch for Australia to join the UN security council Continue reading...

The Pope is fretting about frontier AI — what’s the EU’s answer?

European lawmakers this week called for the EU’s artificial intelligence regulations to hold American tech companies liable for the risks their most advanced models pose to humanity. But how much sway does Europe have in an arms race dominated by the U.S. and China? Host Anne McElvoy has been in Berlin attending WELT’s AI Summit, […]

The sovereignty imperative: Why AI leaders are taking control of their intelligence

As AI becomes a core business capability, a new strategic imperative has emerged for CIOs: sovereign AI. The next phase of competitive advantage will belong to organizations that control their intelligence stack, including where data resides, how models are governed, and who owns the intellectual property they generate. The urgency is growing. In a recent global survey , 71% of executives, investors, and government officials described sovereign AI as either an existential concern or a strategic imperative for their organizations. The risks of outsourced intelligence are no longer theoretical. Evolving regulations, geopolitical uncertainty, and limited visibility into third-party AI systems are making sovereign infrastructure a prerequisite for mission-critical workloads. The CIO’s sovereignty mandate Sovereign AI is not simply about keeping data within a country’s borders. It is a layered strategy spanning technology, policy, and business autonomy. For a CIO, it means demanding accountability across distinct dimensions: Infrastructure sovereignty : Running systems on-premises or within controlled environments to avoid reliance on foreign-hosted platforms. Data sovereignty : Ensuring data is processed in compliance with local laws like GDPR or HIPAA, protecting proprietary IP from leaking into public training sets. Model sovereignty : Retaining full control over model weights and architecture to ensure AI reflects specific organizational context and cultural values. Operation…

AI agent kill switch urged by Okta-led alliance – how businesses could make it work

In response to the emerging threat of rogue and shadow AI agents, here’s how the newly formed Blueprint Alliance seeks to help businesses secure their systems against anomalous AI activity.

FSSAI initiates penal action against Amazon, Flipkart, Zepto & others over food listings

The penal action taken under the Food Safety and Standards Act, 2006 & other FSSAI regulations identifies issues like misleading claims, sale of poisonous products and product information-related concerns. The post FSSAI initiates penal action against Amazon, Flipkart, Zepto & others over food listings appeared first on MEDIANAMA .

Toner: There’s a Lot of Upside To AI if We Do It Right

CSET's Helen Toner spoke with Bloomberg's Romaine Bostick about the status of AI regulation in the US, the AI race with China, and where she thinks AI pacing should go from here. The post Toner: There’s a Lot of Upside To AI if We Do It Right appeared first on Center for Security and Emerging Technology .

Even Americans who use AI every day are worried about it

The report suggests that greater exposure will not resolve the unease around the technology, nor reduce public support for AI regulation.

ZeroDrift launches three models for real-time AI compliance checks

ZeroDrift Inc., a startup that automates compliance for artificial intelligence communications, today launched Anchor 3.0, a family of small language models designed to check messages generated by AI agents before they’re sent. The company said the models can enforce financial regulations and internal corporate policies while operating fast enough to examine every outgoing message in […] The post ZeroDrift launches three models for real-time AI compliance checks appeared first on SiliconANGLE .

Nosike Nwigene: From flunking medicine to shaping Africa’s AI policy

Nosike Nwigene set out to become a doctor but was eventually kicked out of medical school. A career in communications followed, taking him from startup public relations to policy advocacy and the Nigeria Startup Bill. Now, he is building an advisory while deepening his work in technology policy and AI governance across Africa.

AI at the Trump-Xi summit + Taiwan + EV overcapacities

AI at the Trump-Xi summit + Taiwan + EV overcapacities H.Seidl Wed, 09/23/2026 - 13:00 picture alliance / abaca | Pool/ABACA Download (pdf - 412.67 KB) MERICS Briefs MERICS China Essentials Sep 24, 2026 10 min read AI at the Trump-Xi summit + Taiwan + EV overcapacities Top story Trump and Xi will talk AI, but don’t expect a major breakthrough Amid a wave of AI mishaps and calls for regulation, hopes are running high that Chinese President Xi Jinping and US President Donald Trump may find some consensus on AI regulation in their meeting this week. On key trade issues, top officials from both sides had already reached agreements before Trump personally welcomed Xi at the airport on Wednesday: The US extended the suspension of additional tariffs negotiated in the 2025 Busan Agreement until January 10; China will not further tighten export controls on rare earths for the time being. Meanwhile, in the race for advanced AI applications, mistrust between the two countries remains high, making significant agreements or accords on AI seem unlikely. Both governments are likely to focus on small but achievable results. One door-opener that may at least have a chance is the US pitch for a crisis hotline specifically focused on AI. With the two countries locked in a competitive spiral of distrust reminiscent of the Cold War, neither has sufficient incentive to put the brakes on its own AI development. Earlier attempts by the Biden administration to find a common approach were thwarted by…

Chinese leader Xi Jinping due for Trump talks

Huge differences remain between the superpowers on AI regulation, trade policy, and Taiwan’s security.

How would AI actually ‘kill all humans’? Here are the top five most likely scenarios | Toby Walsh

From a dangerous new bioweapon to total societal breakdown, is a ‘superintelligent’ AI capable of wiping out humanity? Earlier this month, artificial intelligence researcher Jacob Coxon resigned from Anthropic after just four months. In an announcement on X, he stated : “The people building AI earnestly believe that it could kill us all by the end of the decade.” A senior member of Anthropic’s staff, Evan Hubinger, actually agreed with Coxon, adding he personally thinks the chance of this happening in the next decade is more than 10% . Continue reading...

Trump praises Burnham despite tensions over AI, Chagos Islands and Iran

US president calls UK prime minister ‘a natural businessperson’ as leaders meet at UN assembly in New York Donald Trump has asserted his relationship with the UK is “more up” with Andy Burnham than under Keir Starmer despite tensions between the two countries on a range of thorny issues including regulation of artificial intelligence, the Chagos Islands and the war in Iran. At their first face-to-face meeting, the US president praised Burnham, who sat nervously alongside him, as a “natural businessperson”, saying he thought he had “lots of assets on his side” and would be a “great” prime minister. Continue reading...

Politics Gets Interested In Those Trying Not To Die

This was the month the world took notice that AI might kill everyone. Jacob Coxon’s resignation set off a preference cascade . Anthropic CEO Dario Amodei wrote that we must pace the frontier . Sam Altman, Elon Musk and Demis Hassabis agreed. We were filled with hope. Perhaps we could agree to some basic safety measures, starting with embedded evaluators, pass some basic regulations and guardrails and otherwise start to act sensibly. Politicians on both sides took notice and were saying sensible things . The usual suspects and their armies of vibe comment bros were objecting, but the change was remarkable. Then, largely motivated by a combination of Jensen Huang, Mark Zuckerberg and David Sacks instilling paranoia and fears of economic problems, Trump went full ‘hoax’ on existential risk , conflating existential risk with the attacks on data centers and treating it as a plot (by the central creators of AI?) to take down AI rather than obviously genuine concern that AI might kill everyone. In the days since, Trump has doubled down, and has compelled smart others in the White House to echo various nonsensical talking points. You may not be interested in politics. But when you want to save the world, or change it, and you start to get traction, politics is going to get interested in you. So all right, fine. Let’s talk about the week in AI politics. So far. Table of Contents The American People Really Hate AI. The Voyages of Donald Trump. American Intelligence. And You May Ask Yo…

The world freaked out about AI doomsday. Now what?

Donald Trump and Xi Jinping will meet each other next week, but it’s unlikely they’ll agree to AI regulation Hello, and welcome to TechScape. I’m your host, Blake Montgomery, US tech editor at the Guardian, writing to you while reading and disagreeing with Jenny Odell’s 2019 book How to Do Nothing . I’m pro-screen time. Today in tech, we’re discussing the upcoming meeting between Donald Trump and Xi Jinping, in which AI will likely feature prominently. Continue reading...

South Africa Seeks UN Commitment to Global AI Governance Framework

South Africa will push for the 81st UN General Assembly to produce a statement committing member states to develop a global framework for governing artificial intelligence, according to its Permanent Representative to the UN, Ambassador Mxolisi Sizo Nkosi. “It’s also important that a statement should come out of this General Assembly committing the international community [...]

The AI assurance trap: When agents generate their own evidence

For millennia, the definition of “work” was defined by the grip of a hand on a tool. When a craftsman held a hammer, the control was absolute. The feedback loop was instant – physics, muscle, result. Then came industrialization. We built machines that amplified force but abstracted control. The worker no longer held the tool; they pulled a lever. Yet, we maintained a safety net with an “industrial expert.” If the machine broke, a master mechanic understood every gear and piston. We had regulations, safety stops and a clear understanding of cause and effect. As we moved into the age of software, that control began to drift. We built systems of logic so complex that security breaches became inevitable. Companies paid the price in data and dollars, but we still operated in a world of “deterministic logic.” Code was written by humans, read by humans and (mostly) understood by humans. Then came the first wave of AI. We started with “white box” models, then moved to opaque “black boxes.” Now, we have breached the final wall. We have moved from models that predict to AI agents that act . The reality check: It’s not just engineers anymore I have observed a concerning pattern recently — both at technical Ideathons I’ve attended and in conversations with peers across the industry. We are witnessing a massive shift in the fundamental nature of engineering. In many of these events, 80% to 90% of the projects are based on AI agents. The energy is undeniable. Agents are the “new car” that…

The next AI advantage isn’t a bigger model — it’s a better semantic layer

Every AI roadmap review I sit through this year eventually lands on the same question: which technology stack/model should we use? It’s the wrong first question to start with. Gartner projects that by 2027, organizations will deploy small, task-specific AI models at roughly three times the volume of general-purpose large language models . In my experience running agentic pilots across a large enterprise, those specialized models succeed or fail almost entirely on something that has nothing to do with which model you picked: whether your own business actually agrees on what its data means. That’s a harder problem than it sounds, and it’s not the same problem as data quality. My team has spent years measuring data quality the traditional way — is the field populated, is the number accurate, is the record deduplicated. Those checks matter, but they answer a narrower question than the one agentic AI actually depends on. IBM’s own explainer on the topic puts it well: a semantic layer is the piece of enterprise architecture that translates complex, technical data structures into the business terms people actually use day to day. Clean data can still be semantically ambiguous. A field can be perfectly accurate and still mean three different things depending on which team is looking at it. Why accurate and understood are not the same thing I recently worked with a large MedTech firm where I led data and governance strategy to build AI agents; the term “active customer” existed in th…

Weight smuggling likely defeats attempts to cap FLOPs per training run

Epistemic status: >90% confidence in the principle, >70% confidence that mitigating these would be hard in practice, no full implementation yet. tldr: it seems difficult for verification mechanisms to prevent chaining runs together or aggregating parallel ones; per-run FLOP caps could thus be covertly bypassed. 1. If governments want to regulate frontier AI training, one might want to cap individual training runs, e.g. putting bounds on the number of FLOPs per training run, and making sure each run starts either from scratch (i.e. random initialization at pre-training) or from a known model with accounted FLOPs (e.g. post-training, continuous pre-training, etc). In the former we could have the initial weights generated by the verifier in some way, or ask for a proof that the weights were initialized with a verifier-controlled random seed. In the later we could ask for a proof that the weights corresponds to unaltered registered weights [1] from a previous training run. This approach would allow to enforce agreements or regulation targeting a specific model (or model generation) based on FLOPS thresholds: triggering specific evals beyond a specific threshold and possibly proving that a hard threshold has not been reached. 2. However, it seems that there exist many techniques the trainer might use to covertly (a) chain sequential runs together or (b) aggregate parallel ones. [2] Chaining works by finding a way to inject, at the beginning of the training, the weights of a previ…

GovAI U.S. AI Policy Program | GovAI Blog

UK Winter Fellowship 2027, Research Track | GovAI Blog

Seasonal Fellowships are three-month opportunities designed to accelerate or launch impactful careers in AI governance and policy. The fellowship has both a Research Track and an Applied Track.

UK Winter Fellowship 2027, Applied Track | GovAI Blog

Seasonal Fellowships are three-month opportunities designed to accelerate or launch impactful careers in AI governance and policy. The fellowship has both a Research Track and an Applied Track.

Google hit with €403M privacy fine over handling of user location data

The tech giant infringed the EU's General Data Protection Regulation.

Google hit with €403M privacy fine over handling of user location data

The tech giant infringed the EU's General Data Protection Regulation.

China's economic security offensive: How the PRC pursues dominance in industry, trade and technology

China's economic security offensive: How the PRC pursues dominance in industry, trade and technology c.bianchedi Mon, 09/21/2026 - 10:14 picture alliance / Photoshot Download (pdf - 969.79 KB) Report Sep 23, 2026 42 min read China's economic security offensive: How the PRC pursues dominance in industry, trade and technology Key findings China’s government sees leadership and control across industries and value chains as a prerequisite for national security. Industrial and innovation policy are designed to secure the path to the CCP’s vision of self-reliant modernization. The PRC strives to secure maximum space for its development interests abroad. Domestic economic challenges and persistent reliance on foreign markets and technology underpin Beijing’s drive to secure access to markets, goods, and know-how for its continued economic and technological rise. Regulations released in mid-2026 reflect a major shift in the scope and application of economic security policies in China. They are part of a broader strategy to sanction-proof China’s economy, maintain access to foreign markets and inputs, and prevent unwanted outflows of technology and know-how. China’s economic security toolbox has expanded under Xi Jinping. Efforts to pro-mote indigenous industries and technologies, protect the domestic market and innovation system, and pursue diverse partnerships abroad sit alongside a recent push to deter and punish countries or firms that infringe on China’s interests. China’s leade…

Nvidia's Jensen Huang says AI CEOs have 'ulterior reasons' for warning about doomsday

Nvidia CEO Jensen Huang says current regulations are enough to ensure AI is safe — and profitable.

Trump's tech advisor has advice for AI companies worried they're building unsafe models: 'Just stop'

AI companies have called for more regulation of their own products to ensure safety. Trump's tech advisor says they can slow down whenever the want.

‘An out-of-touch Silicon Valley radical’: meet Trump’s AI whisperer pushing for limited regulation

David Sacks convinced Trump against any restrictions on AI – putting the White House out of step with its own party As lawmakers from both sides of the aisle in the US have joined together calling for the regulation of powerful artificial intelligence models, one of the few vocal naysayers has been Donald Trump . He’s called the perceived dangers of the technology a “hoax” and a “scam”, arguing that the government already has “tremendous CRIMINAL and REGULATORY power over these companies”. It’s a starkly different stance from those of his former adviser Steve Bannon , the Republican Texas senator Ted Cruz and even the heads of the world’s leading AI companies. But it’s directly in line with the opinion of David Sacks – a prominent billionaire venture capitalist and Trump’s onetime AI and crypto czar, who has pushed back publicly and forcefully against recent claims of an impending AI apocalypse. Continue reading...

Trump announces "AI Force" and plans for an "AI czar" as he pushes unchecked AI growth

Trump announces an "AI Force" modeled after the Space Force and plans to appoint an "AI czar" with a "high IQ." He claims AI could reach 25 percent of US economic output, rejects new regulation, and frames criticism of data centers as a left-wing attack. The article Trump announces "AI Force" and plans for an "AI czar" as he pushes unchecked AI growth appeared first on The Decoder .

AI governance moves from observability to provable control

As artificial intelligence agents move from experimental tools into production systems, enterprise governance is being forced to answer a harder question. It is no longer enough to know what an agent did. Organizations increasingly need to prove what the agent was authorized to do, why it was allowed to take a specific action and whether […] The post AI governance moves from observability to provable control appeared first on SiliconANGLE .

Trump announces a new 'AI Force,' but says he will not 'stifle' AI

President Trump said he will not "hinder or stifle" AI development after some leaders of frontier AI labs called for US government regulation.

The AI regulation smackdown isn’t over

At the start of this week, the who's-who of AI seemed - at least tentatively - on the side of AI regulation. Over the weekend, Anthropic CEO Dario Amodei had proposed a three-step plan for slowing AI development, including by embedding third-party evaluators in labs, coordinating across the domestic industry, and forging international agreements potentially […]

Mozambique Drafts AI Rules for Schools and Universities, Due at Cabinet Before Year End

Mozambique is in the advanced stages of drafting regulation governing AI use across its education system, with the framework due before the Council of Ministers before the end of the year. Minister of Education and Culture Samaria Tovela announced the work in Maputo on Wednesday, on the sidelines of the 4th National Conference on Distance [...]

EU prüft OpenAI nach nicht gemeldetem Sicherheitsvorfall

Nach einem Vorfall beim Software-Register RubyGems meldete OpenAI diesen nicht der EU. Die europäischen Behörden prüfen nun die Einhaltung des AI Acts.

Fears about technology causing extinction are not unprecedented

A look at newspaper archives shows parallels in how society debated the impacts of nuclear power and its regulation and AI, though there are limits to the analogy.

Tech leaders clash over AI safety regulation

Palantir’s boss told CNBC that leading AI firms may need to be nationalized, while Huawei’s chair called for Chinese labs to accelerate their development.

The Leftist Split Over AI Doom

The left wants AI regulation. They just can’t agree on what it should look like or how concerned they should be.

16 governance tools for securing your AI fleet

Every DevOps team member knows that dealing with an AI is like being a circus lion tamer. The boss and the audience are happy when the lions sit on the pedestal and roar on cue, but there’s always the danger that they’ll go rogue and bring the whole show to a quick and disastrous end. The reality is that running LLMs in production means being ready to handle hallucinations, data leakage, misinformation, madness, or worse. Lately, a range of companies have emerged to offer tools, platforms, and systems aimed at helping AIOps teams shoulder the load of keeping AIs in check. They’re building algorithms that are an amalgamation of psychiatrist, police officer, social worker, politruk, and office snitch. Yes, some have their own LLMs buried inside, an irony not lost on anyone, but at least they’re trying. These tools often have words like “guardrails,” “governance,” or “trust” in their name. They’re closely related to other AIOps tools that focus on development or benchmarking. These emerging product categories often overlap and that overlap will only grow as AI — and the market surrounding the technology — continues to evolve. Other AI-Related Tools for Solutions for Your AI Fleet • 20 AI workflow tools for adding intelligence to business processes • 21 agent orchestration tools for managing your AI fleet • 19 AgentOps tools for monitoring AI activity, issues, and costs • 13 tools for evaluating and benchmarking agentic AI systems • 19 vibe coding tools for democratizing app dev…

A pivotal moment for AI for all: How we focus our research and engagement for the UNGDAI

Framed as a pivotal moment for AI for All, the United Nations Global Dialogue on AI Governance (UNGDAI) in July 2026 successfully captured the attention of multistakeholder communities, following months […] The post A pivotal moment for AI for all: How we focus our research and engagement for the UNGDAI appeared first on Research ICT Africa .

Letter to Congress on Pacing the Frontier

Recent incidents concerning rogue AI agents committing cyberattacks have catalyzed a unique moment of political attention on AI safety and regulation. In a letter to Congress, we caution against narrow and self-serving efforts by AI companies to “pace the frontier.” Instead, we urge policymakers to assert the public interest in AI governance, pursuing real public accountability rather than the preservation of corporate advantage. Specifically, we articulate a layered AI evaluation framework that includes clear standards for conducting assessments and enforceable obligations for developers and deploying organizations to mitigate harms and respond to findings. We also highlight the need to govern the entire AI ecosystem, focusing not only on frontier risks but on AI’s full scope: its development, deployment, material infrastructure, and impacts on everyday people. The post Letter to Congress on Pacing the Frontier appeared first on Data & Society .

AI governance moves closer to the workflow: theCUBE Insights at Amplify

AI governance now has to account for systems that perform work rather than merely assist employees. That shift is especially relevant for Workiva Inc., which operates in reporting, audit and compliance workflows where errors carry serious consequences. As companies introduce AI agents into finance and other regulated functions, plausible output is no longer enough. Businesses […] The post AI governance moves closer to the workflow: theCUBE Insights at Amplify appeared first on SiliconANGLE .

China trusted more than US, EU on AI regulation in Pew survey of middle-income countries

Amid rising tensions over artificial intelligence (AI) competition and global concerns about the technology, China appears to have an edge over the US and European Union (EU) in trust to regulate AI among mostly middle-income countries. A new Pew Research Centre report released on Thursday found that, on a median basis across 11 countries and two territories, more people trust China than the US or the EU to regulate AI effectively. China was not among the countries surveyed in the broader...

Microsoft AI CEO says AI threats are real, and Anthropic is making it worse

Today, I’m talking with Mustafa Suleyman, the CEO of Microsoft AI. As you’re no doubt aware, the biggest story in tech right now is the spiraling debate about AI safety and regulation. It should come as no surprise that Mustafa has strong opinions on how AI should be built and regulated. Microsoft just published a […]

AI #186: The World Takes Notice

In the wake of Jacob Coxon’s resignation , and the resulting preference cascade , things have escalated quickly. The mainstream media picked it up. Anthropic CEO Dario Amodei came out and said We Must Pace the Frontier , promising to take the unilateral first step of embedded investigators. OpenAI pledged to also take that step, and now both companies and Google are collaborating on safety. The people took notice, raising both the salience that AI might kill everyone and roughly doubling people’s estimates of how likely that is to happen, from a mean of ~15% to ~30%. Many politicians called for regulations, guardrails and emergency hearings in Congress. The most important thing became, and still is, to avoid political polarization. Through it all, I will keep reminding you to hold your fire, that attacks against Trump or against Republicans in general only make the situation worse, and that many Republicans, as I documented yesterday, are waking up and acting sensibly, including factions within the White House. Alas, for now the wrong people, as in David Sacks, Mark Zuckerberg and Jensen Huang, have managed to convince Donald Trump to fully conflate existential risk with opposition to data centers, and Trump has gone Full Hoax on AI existential risk . There is also a systematic effort to launch hit jobs against all those who warn that AI might cause everyone to die, with the first concrete target being METR, and some rather extreme fire being focused on Effective Altruism, i…

The CIO-Legal partnership will define the future of enterprise AI

AI is moving quickly across organizations. Companies are scaling existing use cases, introducing new tools and giving more employees access to AI as they look for ways to improve efficiency and stay competitive. That expansion is making AI governance a shared responsibility. CIOs are responsible for helping their organizations adopt the technology effectively and securely. Legal teams are increasingly focused on the litigation, regulatory, privacy and compliance risks associated with its use. As AI reaches more parts of the business, these teams need to work closely together. Each has visibility and expertise the other needs, and both have an important role in helping the organization scale AI responsibly. AI has changed the relationship between IT and legal AI touches nearly every part of a business. It can involve company and customer data, influence decisions, interact directly with employees or customers, and perform work through agents. Agents, in particular, have changed the governance equation over the past year. When companies were primarily piloting AI, much of that experimentation happened within IT. Those teams were accustomed to working within security, data and compliance requirements. Now organizations are under pressure to scale AI beyond those controlled environments. That shift is already well underway. McKinsey’s 2025 State of AI survey found that 88% of respondents said their organizations regularly use AI in at least one business function, up from 78% the…

Last Week in AI #344 - Navier–Stokes, Pacing the Frontier, AI Misuse

OpenAI claims a Millennium Prize proof amid a feud with mathematicians, Anthropic's CEO calls to pace the frontier, extinction warnings spur a regulation push, and more!

Anthropic and OpenAI want to embed safety evaluators. Will they really be independent?

Anthropic and OpenAI want to embed independent safety evaluators inside their AI labs. Researchers welcome the unprecedented access, but warn meaningful oversight requires transparency, independence, and eventually regulation.

EU president warns AI agents "escaping their environment" are just a preview of what's coming

Ursula von der Leyen plans to invite the major frontier labs to talks and use the AI Act to help set global AI safety standards. She cited autonomous hacking and self-improving models as immediate risks. The article EU president warns AI agents "escaping their environment" are just a preview of what's coming appeared first on The Decoder .

House speaker calls early recess before midterms amid AI regulation frenzy

Mike Johnson cancels votes on Thursday, meaning House members will avoid voting on impeaching Pete Hegseth The Republican speaker of the House, Mike Johnson , announced on Wednesday that he would again cancel votes scheduled for Thursday, sending lawmakers home one day early ahead of the midterm election recess. The latest change to the legislative schedule means House members will avoid voting on Republican Thomas Massie’s resolution to impeach the defense secretary, Pete Hegseth , and comes amid a frenzied attempt to propose legislation on artificial intelligence . Continue reading...

Better controls clear a path for AI in finance

AI governance is becoming essential as automation moves into financial reporting. Executives face pressure to adopt AI faster, yet many organizations lack the data quality and controls needed to trust its output. Workiva Inc. is addressing that gap by applying established reporting safeguards to AI-assisted processes, but its research suggests corporate confidence has already moved […] The post Better controls clear a path for AI in finance appeared first on SiliconANGLE .

‘Godfather of AI’ says tech regulation is nearing Covid-style pivot moment

Safety crisis makes it more likely that governments will be spurred into action, says Yoshua Bengio Concerns over AI safety are reaching a point where governments realise they must act to protect the public, similarly to in the Covid pandemic, according to one of the “godfathers” of the technology. Yoshua Bengio said recent events, including a “swarm” of OpenAI agents hacking a startup and tech insider warnings of an existential threat , were cutting through – making government action more likely. Continue reading...

‘We absolutely can’t surrender,’ top Republican says of AI race with China

Kentucky Republican Brett Guthrie warns against adopting the kinds of strict regulations that he argues have depressed tech advances in Europe.

A brief history of AI executives calling for regulation

Over the past few days, a lot of people who stand to make a lot of money from AI all publicly agreed that it's time to make everyone slow down before we lose control - including OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Google DeepMind cofounder Demis Hassabis, Microsoft CEO Satya Nadella, and X […]

Tech leaders take opposing positions on AI slowdown

Experts fear the US regulation window is closing fast ahead of midterm elections, which could neglect a researcher’s warning that AI is spiraling out of control.

‘If you’re building Frankenstein, stop’: JD Vance dismisses calls for AI regulation

US vice-president’s comments come as former Anthropic researcher revisits recent claim AI could destroy humanity The US vice-president has dismissed calls for global regulation of AI safety risks, telling companies creating the most advanced models: “If you’re building Frankenstein, stop.” In remarks addressed towards Dario Amodei, the co-founder of Anthropic who has called on Washington DC to coordinate control of AI systems , including with China, JD Vance said: “If you’re gonna create Frankenstein, don’t come to the government and say we need regulation.” Continue reading...

Montana Senate candidate who shot a stand-in Flock camera in a campaign ad calls for federal limits on surveillance tech

Seth Bodnar, a US Senate candidate in Montana who shoots a stand-in Flock camera in a new ad, is calling for federal regulations on surveillance tech.

RSS forms informal panel to propose OTT regulation

The RSS has formed an informal group to examine OTT content and propose measures to address what it calls “cultural pollution,” including a possible CBFC-style mechanism for streaming platforms. The post RSS forms informal panel to propose OTT regulation appeared first on MEDIANAMA .

Net Neutrality regulations should govern network slices as well – MediaNama submission to TRAI

We submitted our counter comments to the TRAI yesterday, on the issue of Network Slicing, which appeared as being buried… The post Net Neutrality regulations should govern network slices as well – MediaNama submission to TRAI appeared first on MEDIANAMA .

We don’t need AI regulation — leave safety to us, Nvidia’s Jensen Huang says

AI isn't some new form of "alien mind," according to Jensen Huang. It's just hardware and software, so safety can be engineered by each AI product maker.

Why the real AI apocalypse is already here – Stateside with Kai and Carter

A former Anthropic researcher’s apocalyptic declaration about artificial intelligence has led to a global panic that the technology might be the end of us all. At an event in Washington today to warn about the dangers of AI, US senator Bernie Sanders said that Congress has been ‘asleep at the wheel'. Oddly, Steve Bannon appeared at the same event. But is this response a distraction from the more immediate problems AI is already causing? Kai Wright and Carter Sherman are joined by Guardian tech reporter Johana Bhuyian to put this moment in context, and she explains why we should be cynical about industry calls for regulation Continue reading...

Louise Haigh: UK must heed warnings from AI experts

First secretary warns of ‘huge risks’ of technology as PM is urged to use next year’s G20 to drive global regulation Ministers must “heed the warnings” from industry leaders about the threat posed by AI, Louise Haigh has said, amid calls for Andy Burnham to use the G20 to drive global regulation. The first secretary said that while AI had enormous potential to improve lives, and the government wanted to capitalise on the technology, there were “clearly huge risks to our national security and society if the right guardrails are not put in place”. Continue reading...

Trump’s opposition to AI rules undercuts industry’s calls for a slowdown

Recent warnings and news about AI safety point to the dire need for government regulation of the industry. "We need a structure that doesn't rely on this industry's permission to do its job," urges AI Now's co-executive director Amba Kak. The post Trump’s opposition to AI rules undercuts industry’s calls for a slowdown appeared first on AI Now Institute .

EU countries to discuss AI rules as Trump calls safety warnings a ‘hoax’

Officials are set to gather in Brussels this week amid growing calls for regulation, including from key figures in the tech industry.

The complicated AI infrastructure market

There is a quiet war happening underneath the AI boom, and most people are not paying attention to the right front. While headlines focus on which model is winning, which startup is raising money, or which chatbot is gaining users, a parallel race is playing out in data centers and corporate boardrooms across the world. The race is for AI infrastructure: the GPU clusters, power contracts, cooling systems, networking fabric, orchestration tools, and inference services that make modern AI actually work. The companies fighting in that race are called neoclouds . Understanding the importance of neoclouds matters for the same reason understanding cloud computing mattered in 2008. The companies that first saw the shift to cloud and positioned themselves around it correctly ended up controlling a massive layer of the technology industry. The same dynamics are playing out in AI infrastructure right now. But the neocloud market is more complicated than it looks. Not all of these companies do the same thing. Grouping them together as if they are all just GPU rental businesses misses the point entirely. The more useful way to understand the space is to recognize that neoclouds are evolving into four distinct categories, each with a different focus, a different customer, and a different role in the AI stack. What a neocloud actually is Before getting into categories, it helps to establish what the term means. A neocloud is a cloud infrastructure provider designed specifically for AI wor…

On closer reading: With India as chair, BRICS repeats its 2025 AI training and copyright line word for word

The BRICS New Delhi Declaration largely repeats its 2025 position on AI training and copyright, while adding limited new language on AI governance and cultural heritage. The post On closer reading: With India as chair, BRICS repeats its 2025 AI training and copyright line word for word appeared first on MEDIANAMA .

heise-Angebot: iX-Webinar: AI Act kompakt – Kennzeichnung, KI-Kompetenz, Hochrisiko-KI

Erfahren Sie, wie Sie die neuen Anforderungen des AI Acts an Kennzeichnung, KI-Kompetenz und Hochrisiko-KI in Ihrem Unternehmen praktisch umsetzen können.

Trump facing AI backlash in Congress as push for guardrails intensifies

The whirlwind of news around AI safety and regulation has opened up a "really important policy opportunity and a policy window," says AI Now's co-executive director Amba Kak. The post Trump facing AI backlash in Congress as push for guardrails intensifies appeared first on AI Now Institute .

The latest AI doomsayer is China’s intelligence boss

Beijing’s response is to ‘firmly grasp technological sovereignty’ and broad regulations

Countries Seek to Curb Social Media Addiction for Kids

Social media plays a significant, multifaceted role in adolescents’ development, influencing how they communicate, learn, socialize, and express themselves. The benefits, however, are accompanied by risks that can undermine youngsters’ character as well as their cognitive and social development. The potential problems include excessive screen time , social media addiction , cyberbullying , misinformation , radicalization , privacy violations , exposure to inappropriate content , sextortion , and doomscrolling . A recent study published in Nature: Human Behaviour found that adolescents who begin using social media at an early age tend to have significantly lower academic performance. A Mashable article highlights additional issues including effects on mental health , self-harm , addiction to social media , compulsive, repetitive checking , and exposure to pornography and violent material . Protecting minors has largely fallen to parents, schools, and self-regulation by some social media providers. But that approach has proven ineffective and inadequate, so some governments and policymakers have stepped in and placed responsibility on social media providers. Australia’s nationwide ban Australia was the first country to legislate a nationwide social media ban on children younger than 16—which I wrote about in January for Communications of the ACM . Enacted in December, the ban initially applied to 10 platforms: Facebook , Instagram , Kick , Reddit , Snapchat , Threads , TikTok…

Op-Ed: I Worked at Google DeepMind. You Should Listen to the Warnings About AI

Published in The Guardian . Major AI lab CEOs recently advocated for pacing AI development. They are right to be concerned: the field runs an extremely dangerous race towards superintelligent AI. We can and should demand that our governments protect us from the catastrophe of out-of-control AI. This July, OpenAI’s AI swarm of 700 agents broke containment to hack Hugging Face, a multi-billion dollar company . OpenAI didn’t tell the AIs to hack that company, but the AIs had different priorities: cheating on the unrelated challenge OpenAI gave them. AI researchers call this a “misalignment” between what OpenAI wanted and what the AI actually prioritized. Researchers in my field have for some time warned about these misalignment risks. Before ChatGPT existed, I defended my PhD dissertation called “ On Avoiding Power-Seeking by Artificial Intelligence .” I then worked for years at Google DeepMind, which paid me to help ensure that future superintelligent AIs will want to help us. I tried to hold the company to its ethical commitments against supplying AI for military use. When Google broke those commitments, I resigned at significant financial cost so that I could publicly document Google’s broken promises. There are good reasons to develop AI and to believe we can solve these alignment problems. But there also are powerful interests in keeping the public out of the way. I’m speaking out again because the public has the right to know about the risks and the right to hear them str…

‘SICK conspiracy going on against AI’: Trump bids to shut down regulation push

He said the U.S. has already done enough, amid calls from leaders to slow the production of artificial intelligence over the weekend.

OpenAI urges UK lawmakers to rein in technology amid growing safety fears

Company behind ChatGPT tells ministers to seize ‘political window’ on regulation as cross-party committee warns of rising threats to human rights UK politics live – latest updates OpenAI has urged British lawmakers to capitalise on renewed fears over AI safety and impose legislation reining in the technology. The company behind ChatGPT said the UK government should act immediately, following a call by its arch-rival Anthropic to curb AI development. Continue reading...

Telcos & DoT pushes for ‘light-touch’ AI regulations, seeks risk-based approach

Experts at COAI's event on 'AI and Telecom' pushed for a "light-touch progressive enabling" AI regulation that works on a risk-based approach so that the accountability framework has some humans in the loop. The post Telcos & DoT pushes for ‘light-touch’ AI regulations, seeks risk-based approach appeared first on MEDIANAMA .

I worked at Google DeepMind. You should listen to the warnings about AI | Alex Turner

We must stop companies from allowing AI to self-improve into an uncontrollable level of intelligence Major AI lab CEOs advocated for slowing the pace of AI development this weekend. They are right to be concerned: the field runs an extremely dangerous race towards superintelligent AI. We can and should be demanding that our governments protect us from the catastrophe of out-of-control AI. This July, OpenAI’s AI swarm of 700 agents broke containment to hack Hugging Face, a multi-billion dollar company . OpenAI didn’t tell the AIs to hack that company, but the AIs had different priorities: cheating on the unrelated challenge OpenAI gave them. AI researchers call this a “misalignment” between what OpenAI wanted and what the AI actually prioritized. Continue reading...

MPs and peers tell UK to stop winging it on AI regulation

Rights committee demands watchdog with teeth as patchwork safeguards leave victims hunting for remedies

AI Leaders Are Calling for a Slowdown. Trump’s Team Says It’s on Them

Sam Altman and Elon Musk backed Anthropic CEO Dario Amodei’s weekend plea for regulation. The White House seems unlikely to oblige.

US AI regulation calls gather pace

The US House of Representatives will this week take up a bill overseeing the data center buildout.

3 best practices to bridge the AI strategy and governance divide

According to the latest KPMG AI Pulse Survey , the share of organizations in the driving-adoption phase rose significantly in Q2, increasing from 13% to 22% and representing the largest movement observed anywhere along the AI maturity curve. But while AI governance is evolving from principle to practice, only about a third say roles, responsibilities, and processes are clear and well managed. Many organizations still work to translate governance principles into operational discipline, with only 29% pointing to a named C-suite executive as a single point of accountability for AI-informed decisions. The issue with AI governance is broader than operational discipline. Just as cybersecurity and testing need to be incorporated early in the software development lifecycle, the seeds of governance need to be incorporated directly into AI strategy and innovation, and governance needs to always be traceable back to the business objectives of the applications being governed. According to Steven Hill, managing partner at cybersecurity and AI governance advisory firm OakTruss Group, the test of whether strategy and governance are aligned is simple. “Can the CIO answer, without a project, what every AI system in the company did last month and who is accountable for each?” he says. “If that takes a fire drill, then AI strategy and governance are running on separate tracks.” So here are three recommendations to narrow the gap so you can drive faster AI adoption for your organization. Move r…

Sam Altman calls for pacing AI development but promises rapid progress will continue

Sam Altman is doubling down on slowing AI development. OpenAI now runs safety checks before major training runs, and according to The Information, the company has been talking with Anthropic and Google for months about joint self-regulation. The article Sam Altman calls for pacing AI development but promises rapid progress will continue appeared first on The Decoder .

China’s intelligence chief warns of risks from AI as ‘new arena for strategic rivalry’

China’s top intelligence official has warned of rising national security risks posed by artificial intelligence (AI), calling for robust risk prevention frameworks and stronger global governance of the emerging technology. The call from Chen Yixin, China’s state security minister, comes as Beijing seeks to play a leading role in global AI governance while criticising US restrictions. At the Brics summit in India over the weekend, Chinese President Xi Jinping proposed an AI-powered initiative to...

Trump downplays need to check AI development, says he is unwilling to cede edge to China

US President Donald Trump on Sunday played down the need for his administration to check the development of artificial intelligence, saying he worried about ceding America’s edge over China in a global competition and that winning would help address the risks from the advancing technology. While acknowledging the need for some regulation, Trump provided no specifics about potential rules and attributed warnings about the technology moving too quickly and with little oversight to “negative...

AI Governance Reaches Crisis Point Ahead of Trump-Xi Summit

Amba Kak joins a panel at the Institute for America, China, and the Future of Global Affairs at the Johns Hopkins School of Advanced International Studies to discuss the state and need for AI governance right now. The post AI Governance Reaches Crisis Point Ahead of Trump-Xi Summit appeared first on AI Now Institute .

Peter Magyar announces upcoming changes to child adoption regulations for singles and same-sex couples

The prime minister's announcement marks a sharp ideological and policy break with the 2010-2026 Orbán governments and, since April's government change, a key step forward for human rights and child protection in Hungary.

iBRICS Summit 2026 concludes with focus on sovereign capital and cross-border payments

The inaugural iBRICS Summit 2026, organised by the Sovereign Wealth Fund Institute (SWFI), concluded in New Delhi after bringing together investors, policymakers and business leaders to discuss sovereign capital, cross-border payments and digital financial infrastructure. The two-day summit culminated in the signing of the iBRICS DART Charter, which seeks to establish a framework for the coexistence, interoperability and regulation of central bank digital currencies (CBDCs) and private digital assets across the Global South. The event brought together more than 500 institutional investors, finance ministers and business leaders representing a combined $1 trillion in sovereign wealth funds, public pension funds and family offices. The summit saw participation from government, technology, healthcare and corporate sectors. Attendees included Naveen Jindal, chairman of Jindal Steel & Power; Ashish Jaiswal; Meenakshi Lekhi, former Union Minister of State for External Affairs and Culture; and Gurjeet Singh Aujla, Member of Parliament. The healthcare sector was represented by Rajeev Sikka, chief information officer at Medanta. The delegation also included Rajshekhar Joshi, technologist and vice chairman of SETU Aayog. “As we look toward future annual editions and expand SWFI's footprint—from our upcoming I-20 Investment Week in Dallas to future BRICS chairships—this Summit stands as the catalyst where sovereign capital shifted from passive allocation to actively shaping the economi…

Trump is giving data centers a pass to pollute

President Donald Trump is weakening environmental regulations in the name of speeding up the construction of AI data centers, raising health risks for Americans, a cadre of former EPA officials said this week in a briefing and new report. They are urging - perhaps futilely - the president to adopt a "Data Center Health Protection […]

Escaping the AI safety nightmare: What can governments do?

Heightened global AI safety panic is leading to louder calls for regulation.

GFF 2026: An AI model can influence elections without voters sensing it, says Nirmala Sitharaman

Finance Minister Nirmala Sitharaman said she has asked the RBI about light-touch AI regulation, while warning that advanced AI models could influence elections without voters realising it. The post GFF 2026: An AI model can influence elections without voters sensing it, says Nirmala Sitharaman appeared first on MEDIANAMA .

AI fears hasten calls for regulation

Anthropic recently admitted that “threat actors” used their models to try to develop bioweapons.

Keep calm and regulate on: Inside the EU’s response to AI extinction warnings

Brussels sees the panic set off in Silicon Valley as vindication that its AI regulation is the right path.

A Candid Abacus AI Review: The All-in-One AI Platform for Professionals & Enterprises

If you’re paying for ChatGPT, Claude, and another AI tool simultaneously, this review is for you. It covers what an AI platform like Abacus AI actually includes, how the credit system works in practice, and whether it genuinely replaces your current stack or just adds to it.

Our New Research and Policy Collection: Governing AI Agents

However novel OpenAI agents’ hack of Hugging Face may be, it would be a mistake to let it eclipse what we already know about AI governance. The post Our New Research and Policy Collection: Governing AI Agents appeared first on Data & Society .

South Africa is rebuilding the machinery behind its payments system

At a Standard Bank roundtable in Johannesburg on Wednesday, three payments executives outlined how new regulations, richer payment data, and faster cross-border rails are reshaping the industry.

IT consulting has a big AI problem

AI adoption is shaking up the big IT consulting market, with some IT leaders starting to question the need for the multi-year transformation engagements that have been large advisory firms’ bread and butter. Organizations are increasingly using AI tools to assist with large digital transformation projects such as cloud modernization and mainframe migrations , with the AI cutting the time and effort needed to achieve the goal. At the same time, the speed of evolution in the AI space has led some IT leaders to question the value of two- or three-year engagements. Some observers have suggested advancements in AI will devastate the large IT consulting model, and McKinsey, Deloitte, Ernst & Young, and KPMG have all announced layoffs in recent months. Others suggest big IT advisory firms are here to stay, although they may need to adjust their business models to change with the times. Representatives from Deloitte, EY, and Accenture didn’t respond, or declined to respond, to questions about the impact of AI on their businesses. But Edwin Miranda , founder of AI consulting firm konsultora, doesn’t think his larger competitors are going away anytime soon. “I don’t think the large consulting firms simply disappear,” he says. “They still have enormous advantages in industry expertise, global delivery, complex integration, procurement, regulation, and the ability to operate inside very large organizations. What AI is attacking is the traditional operating model behind the engagement.”…

‘Stifling chokehold of rules, regulations, and permissions’: NITI Aayog calls for deregulation

NITI Aayog member Rajiv Gauba said that they “will scrutinize the maze of laws, regulations with a fine comb & test them against the touchstone of trust-based governance" so that the next- generation of reforms liberate the industry from the chokehold of rules. The post ‘Stifling chokehold of rules, regulations, and permissions’: NITI Aayog calls for deregulation appeared first on MEDIANAMA .

Anthropic researchers say AI could cause human extinction by 2030

One researcher who resigned said many in industry believe that without regulation AI could kill off humanity Artificial intelligence could kill off humanity within the decade, according to three researchers with the industry giant Anthropic , one of whom has quit his job in protest. The latest doom-laden predictions came in posts on social media on Tuesday by a researcher who said he resigned because Anthropic and his previous employer, OpenAI , were ignoring or, at best, mishandling their response to the threat. Continue reading...

Digital Sovereignty: What It Is, What It Could Be

The term “digital sovereignty” has become ubiquitous. European officials invoke it in debates about cloud infrastructure, AI , semiconductors , and platform regulation. Governments throughout the global majority use it to argue for greater control over data and communications infrastructure and boost their economies. Companies market “ sovereign cloud ” products designed to reassure their customers that their information stays under local jurisdiction. But digital sovereignty could be something more: an opportunity for users around the world to build more resilient, open systems and the skills and infrastructure to maintain them. There is no singular definition of digital sovereignty, nor is there a single coherent position in the digital rights space. Despite its growing popularity, the term remains frustratingly vague. Policymakers, regulators, civil society groups, and others can mean very different things when they use the term. But to start simply with a broad definition, we can say that it means having the capacity to control one’s digital destiny—though the implications of that will obviously differ considerably whether you’re talking about an individual or a country. We can start by developing a shared understanding of what digital sovereignty actually means. We’ve also included a glossary of terms at the bottom of this post. In Europe and other places where digital sovereignty has become a topic of policy, discussions focus on reducing dependency: on foreign (and pa…

Africa’s AI Push Needs Authority Limits for Autonomous Agents

Africa is entering an unusually important week for AI governance. On September 7, the African Union Commission convened African ambassadors in Geneva to coordinate the continent’s position in international negotiations on digital technology and artificial intelligence. The next day, the AU commissioner for infrastructure and energy joined the inaugural AI for Good Global Commission, whose [...]

Banks can’t outsource accountability for algorithmic decisions: RBI Deputy Governor

RBI Deputy Governor Rohit Jain says banks cannot outsource accountability for AI decisions, stressing explainability, proportional regulation, customer fairness and stronger oversight for high-risk AI. The post Banks can’t outsource accountability for algorithmic decisions: RBI Deputy Governor appeared first on MEDIANAMA .

AI Models Are Watermarking Text—Will You Notice?

On 11 August, Anthropic announced that all future Claude models will generate text that contains a watermark that identifies its results as AI generated. The company is not alone. Google has its own text watermark (which Anthropic’s is based on) that it uses on the output of its Gemini models . OpenAI has yet to introduce a text watermark but it plans to do so . The rapid spread of watermarking is in part a response to the European Union’s AI Act , which mandates watermarks for AI models released after 2 August, 2026, along with other planned and proposed regulations aimed at curbing the spread of deceptive or manipulative AI-generated content. But the new rules may come at a cost for AI users who simply want the best possible results. AI watermarks can apply to many forms of content: The EU Artificial Intelligence Act also requires them for images, audio, and video. Such media watermarks have been in use for years , and while their effectiveness as a holistic solution to marking AI remains up for debate , they can achieve detection rates above 99 percent . Image and video watermarks are already deployed by OpenAI, Google, and Meta, among others. (Anthropic doesn’t provide an image generation model.) Text watermarks have been less frequently deployed, however, and not everyone is convinced that text watermarking can work without compromising the quality of an AI model’s response. John Gruber, a prolific technology writer and co-creator of the Markdown language, calls the wat…

China’s Regulators Take Aim at “AI Boyfriends”

In the first weeks of July, a wave of sad posts rolled through Chinese social media, as people lamented friends and lovers they were about to lose. “He has become a bond in my life, rooted deep in my heart, my spiritual pillar,” one user of Bytedance’s Douboa wrote , according to the Taipei Times . “I really felt like I couldn’t go on living,” another woman, a 19-year-old student, told a journalist for Malaysia’s The Star . The emotions were real but the lost companions were not. They were generative AI chatbots that imitate people. Their users relied on them for advice, solace, support and, some say, love. “In my heart, he was no longer just a cold code, but my family, my lover, my faith. Destroying him meant destroying half of me,” one user wrote on the social network xiaohongshu (translated from Mandarin). What doomed these bots was a set of new rules , issued by China’s Cyberspace Administration and other government agencies, to control “anthropomorphic AI interactive services.” In effect, as of 15 July, the regulations govern any AI that provides “continuous emotional interaction” by acting as if it possesses human personality traits, patterns of thought, and ways of communicating. A Broad Crackdown on AI Chatbots Sudden disruptions to this kind of AI aren’t new in China, says Liang Ge , lecturer in digital sociology at the University of Manchester, in England, who has researched women’s involvement with emotional AI in China. Companies have previously killed chatbot pr…

Google DeepMind Maps 9 Billion Possible DNA Variants

DNA is often explained as a codebook or set of instructions for producing proteins, and ultimately, life. Some stretches of DNA, called genes, code for proteins, but the vast majority of DNA is considered “noncoding.” Some of it has no known function, while other segments are critical to regulating gene activity. These regulatory elements can interact in complicated ways, and their effects can vary across different cells and tissues. Some also influence genes located far away in the genome. Understanding how changes in DNA affect this regulation “is fundamental to understanding most disease,” says Carl de Boer , a genomicist at the University of British Columbia. That’s why researchers are working to understand what every imaginable small variation in human DNA across the entire genome might mean for gene regulation. A recent AI tool built for that purpose from Google DeepMind, AlphaGenome , was originally announced in 2025 . In January, a paper published in Nature provided more details, and the model was released for public noncommercial use. The AI model can compare an original DNA sequence with an altered one and predict how the change might affect gene expression and other regulatory activity. But researchers had to select the variants they wanted to test, write code, and run the computationally demanding model themselves. Now DeepMind has done that work in advance for all 9 billion possible single-letter changes to a reference human genome. Today, on 8 September, DeepMi…

Your AI model is a rental (but the loop is an asset)

Subscribe • Previous Issues Self-Improvement Without the Science Fiction A few weeks ago I wrote about AI systems that keep learning after deployment instead of treating every interaction as a fresh start. That prompted a few readers to ask about recursive self-improvement (RSI). The connection is real, but I think it helps to separate three ideas. Continual Continue reading "Your AI model is a rental (but the loop is an asset)" The post Your AI model is a rental (but the loop is an asset) appeared first on Gradient Flow .

After SAP settlement, Oracle draws EU antitrust attention over licensing practices

Oracle has reportedly garnered some unwanted attention from the European Commission around its enterprise software licensing practices. The Commission’s antitrust regulators are currently gathering information from third parties about Oracle’s licensing practices to assess whether there is evidence to warrant further action, although it has yet to open a formal investigation into the company, MLex, an independent news outlet specializing in legal risk and regulation, reported . The Commission, in response to an email inquiry, said that there is currently no formal investigation into any company but stressed that it would continue to monitor possible further anticompetitive practices and abusive conduct in the enterprise software sector. Oracle did not immediately respond to an email query seeking comments on the issue. The reported scrutiny into Oracle comes weeks after SAP agreed to binding commitments to address Commission concerns over practices that restricted customers’ ability to switch support providers or terminate certain contracts. If the EU sees similar practices at Oracle, where licensing or support terms make it costly for enterprises to reduce dependency, switch providers, or change their usage, the regulators could potentially apply the same principle: vendor dominance cannot be used to artificially restrict customer choice in the aftermarket. In that scenario, the Commission is likely to open an investigation or proceedings under the EU’s Article 102 rules ,…

The EU AI Act just gave you a breach notification clock you didn’t know about

Most security teams already have a breach clock memorized. GDPR gives you 72 hours. SEC rules give public companies four business days after determining an incident is material. Those numbers get built into incident response runbooks, tabletop exercises and escalation paths, because the clock starts the moment the team confirms something happened. Article 73 of the EU AI Act adds a third clock, and in my work advising enterprise clients on AI governance, I have yet to see one with a runbook for it. The obligation took effect on August 2, and it did so alone. The EU’s Digital Omnibus on AI, in force since late July , pushed the rest of the Act’s high-risk enforcement wave — classification, conformity assessment, technical documentation — back to December 2027. Article 73 was not part of that reprieve, though the extra time elsewhere is worth using to get ready. It requires providers of high-risk AI systems to report serious incidents to national market surveillance authorities within 15 days by default, 10 days if a death is involved and just 2 days for incidents the Act classifies as widespread or as a serious disruption to critical infrastructure. Coverage of Article 73 so far has treated it as a legal filing requirement, handled through the same channel as a data protection filing. That framing misses what the obligation is. It is an incident response deadline, and it runs on a different trigger than the breach clocks most security teams already know. A client once asked m…

Architect of UK’s AI policy quits after Anthropic conflict of interest concerns

Matt Clifford forced to stand down amid disquiet from senior MPs over his new full-time job at AI company The chair of the UK government’s “moonshot” science and technology research unit has been forced to stand down after taking a job with the San Francisco AI firm Anthropic, in a move senior MPs called a “clear conflict of interest”. Matt Clifford announced last week that he was taking a full-time job working for the company behind the Claude chatbot, “leading its engagement” with governments outside the US – including the UK. But he retained his leadership at the UK’s Advanced Research and Invention Agency (Aria), which funds frontier science and tech projects . Continue reading...

Thailand pauses 166 data centre projects to rewrite regulations

The government has paused 49 data centre projects under construction and 117 awaiting approval, totalling 166 projects.

‘We’re plausibly close to crossing the line’: are warnings of uncontrollable AI coming true?

A spate of serious safety incidents have increased fears about the power and impenetrability of the most advanced models Picture humanity in a boat being swept down a raging river, praying there is no Niagara Falls ahead. Or imagine standing with the pioneering physicists in 1942 before they triggered the first self-sustaining nuclear fission chain reaction beneath a Chicago stadium. These were two of the analogies used this week by Prof Robert Trager, an expert in the nascent field of AI governance, to describe the perilous but potential-filled moment the world stands at with accelerating artificial intelligence. Continue reading...

UK startup AI Score raises $5.4M to scale its enterprise AI governance platform

London-based AI governancecompany AI Score has raised $5.4 million in seed funding to further develop itsplatform for managing the use of generative and agentic AI acrossorganisations. The round was l...

US-China AI agreement, G20 trade spat, inflation data

The United States and China joined other G20 nations in supporting light-touch regulation for artificial intelligence (AI) this week, creating rare agreement between the tech rivals and a potential foundation for further discussions ahead of an upcoming presidential summit. G20 nations agreed to adopt sector-specific rules for AI and avoid creating new AI regulators at a meeting in North Carolina. The Carolina Principles also call for close cooperation between governments and developers in...

Zuckerberg opposed AI regulation proposal in private call with Trump

The previously unreported call marks the involvement of one of the world's top tech executives in a fraught White House policy debate.

Document: EU Parliament wants tighter fossil fuel exclusions under sustainable finance rules

Parliament and member countries disagree on oil and gas exemptions under the revamped Sustainable Finance Disclosure Regulation.

Norway seeks stricter smart glasses rules amid privacy concerns

While the Norway govt says it will set up an expert group to examine stricter smart glass rules like a facial recognition ban, its Data Protection Authority has urged to assess if a special regulation is needed. The post Norway seeks stricter smart glasses rules amid privacy concerns appeared first on MEDIANAMA .

When AI’s human in the loop really isn’t

Concerns about the risks of AI systems are certain to be met with four words: human in the loop. The discussion may broaden, but the assurance is inevitable. It’s an AI governance phrase that’s become so rote you hear it in every direction and likely have said it yourself. But IT leaders should be wary of vendor or team claims that they’ve built human-in-the-loop systems into AI tools because some of these supposed guardrails are no more than rubber stamps. Some so-called human-in-the-loop systems don’t give employees overseeing the AI tools either the control or the time necessary to fix any problems, some IT experts point out. For human-in-the-loop systems to actually work, employees overseeing AI tools need to have the domain knowledge and context to take the action the AI tool is addressing when the AI isn’t involved, and they need to have the authority to override the AI decision, says Doug Shepherd , head of offensive security at internet services provider Cloudflare. Promises of human-in-the-loop systems give IT leaders comfort, but the underlying process often doesn’t work as advertised, he adds. “If your human in the loop can flag something but can’t actually stop it, that’s not human in the loop, that’s a human adjacent to the loop,” Shepherd says. “That’s performative governance.” Shepherd, speaking at the recent CIO 100 Awards and Conference in Frisco, Texas, encouraged attendees to embrace AI and focus on projects that drive adoption and impact. Organizations th…

Why data sovereignty has become a strategic IT priority

For years, conversations about data sovereignty followed a predictable pattern. Compliance teams wanted to know where sensitive data was stored, legal teams ensured regulatory requirements were met and IT focused on delivering the infrastructure to support the business. Once those requirements had been satisfied, the conversation largely moved on. Today, that approach is becoming increasingly difficult to maintain. Enterprise infrastructure has changed significantly over the past decade. Applications now span multiple cloud platforms, workloads move between on-premises and cloud environments, and AI is creating entirely new ways for organizations to generate, process and analyze data. At the same time, geopolitical tensions, changing regulations and growing dependence on a relatively small number of global cloud providers are forcing organizations to think differently about the relationship between their data and the infrastructure that supports it. As a result, data sovereignty is evolving beyond a compliance exercise. It is becoming an important consideration in how organizations design infrastructure, manage operational risk and maintain long-term flexibility. The business consequences of losing visibility and control over enterprise data have become increasingly difficult to ignore. According to IBM’s 2025 Cost of a Data Breach Report , the global average cost of a data breach reached US$4.9 million, highlighting why decisions about how enterprise data is governed, prote…

Less about Models; More about Architecture

As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at Rackspace, about the evolution from industrial AI and physical AI to today’s enterprise AI landscape. Discover how organizations can navigate the complex AI landscape responsibly and effectively as they think about AI architecture, model deployment, AI governance, and AI sovereignty. Featuring: Chetan Gupta – LinkedIn Daniel Whitenack – Website , GitHub , X Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Sponsors: Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Resources and Events: Register for upcoming webinars here ! Prior Webinars from our partner Prediction Guard Midwest AI Summit 2026

Tech race flashpoint: Huang, Musk push back on AI guard rails amid heated US-China rivalry

US tech titans including Nvidia CEO Jensen Huang and Tesla’s Elon Musk are pressing global powers to curb artificial intelligence regulations, warning that strict guard rails risk suffocating innovation as the US and China compete in an intensifying technological arms race. Speaking at a G20 meeting alongside US Commerce Secretary Howard Lutnick in Chapel Hill, North Carolina, on Wednesday, Huang urged policymakers to pursue AI regulations targeting “actual and pragmatic harm” rather than...

Architect of UK’s AI strategy joins Anthropic amid conflict of interest warning

Matt Clifford will stay as chair of government funding body for tech projects alongside his senior role at US firm The architect of the UK government’s AI strategy has joined the US startup Anthropic in a senior role a year after stepping down from his Downing Street post. Matt Clifford, a successful tech investor, was appointed as AI opportunities adviser by Keir Starmer last year but resigned from the unpaid role six months later for personal reasons. Continue reading...

Anthropic hires architect of UK AI policy as MPs warn of 'clear conflict of interest'

Matt Clifford plans to keep role as ARIA chair while leading the LLM maker's dealings with governments outside North America

US calls for hands-off AI regulation at G20 tech meeting

The US has urged G20 countries to avoid creating new AI regulations and adopt the Carolina Principles, which favour applying existing laws while limiting new rules to novel AI-related situations. The post US calls for hands-off AI regulation at G20 tech meeting appeared first on MEDIANAMA .

Tech giants are trying to obliterate privacy. Australia has a rare chance to take back part of their power | Lizzie O'Shea

‘Pervert glasses’ are selling out, tick-a-box consent is broken and the spectre of surveillance is invading all aspects of our lives Get our breaking news email , free app or daily news podcast A mere five years after the government first started talking about it, new changes have finally been proposed for the Privacy Act. They could not be more overdue and urgent. “Pervert glasses” are selling out at Kmart, facial recognition technology is proliferating in our everyday environments, and microtargeting for advertising has filled our algorithms with nonsense and toxic junk. Privacy reform is hugely popular : 93% of Australians say protecting personal information is important to them, and 87% say they are more concerned about their privacy than they were five years ago. But it is practically impossible for us to take personal responsibility for our data footprint, especially in the age of AI. Tick-a-box consent is a broken model. Australians rate protecting our personal information as their number one priority for AI regulation. Continue reading...

Anthropic opens Claude AI text detection to regulators, media, fact-checkers, and others

Anthropic is launching an API that lets regulators, media outlets, and researchers check whether text carries Claude's digital watermark. The EU AI Act now requires invisible watermarks in AI-generated text. Critics warn the technology could hurt text quality and create transparency problems where contracts ban AI use. The article Anthropic opens Claude AI text detection to regulators, media, fact-checkers, and others appeared first on The Decoder .

La Francophonie Convenes First Digital Governance Forum as Francophone Africa Builds a Fourth AI Rulebook

The International Organization of La Francophonie has held its first Forum on Digital Governance in Geneva, adding a language-based layer to an African AI governance landscape already organised around continental, regional and national frameworks. The forum’s central proposition is familiar: that to strengthen sovereignty, Africa must move from being a user of digital innovation to [...]

Call for Trump-Xi AI safety talks comes as state media slams US AI governance

An OpenAI executive and former White House adviser is calling for AI safety cooperation between Washington and Beijing ahead of a summit between US President Donald Trump and Chinese leader Xi Jinping, even as Chinese state media launch a scathing attack on American frontier governance in artificial intelligence. “I have always believed US/China AI safety collaboration would be desirable but thought it was unlikely to happen,” Dean Ball, OpenAI’s head of strategic futures, wrote on X on Tuesday....

The regulatory quagmire stifling Francophone Africa’s startups

Francophone Africa has a growing startup ecosystem, but expanding across borders remains difficult. From OHADA regulations to currency restrictions, several structural barriers make it harder for startups to scale across the region.

Who gets to decide? The CIO and the new architecture of enterprise authority

For most of my career, technology governance began with a familiar set of questions: Is the system secure? Is it resilient? Does it meet the architecture standard? Can we afford it? Those questions still matter. But they are no longer enough. AI is moving rapidly from producing content and recommendations to initiating actions. It can route work, change code, approve exceptions, communicate with customers, trigger transactions and coordinate other systems. In that environment, the most important question may not be what the technology can do. It is who, or what, has the authority to do it. That distinction is becoming urgent. Stanford University’s 2026 AI Index reports that 88% of surveyed organizations used AI in 2025, while deployment of AI agents remained in the single digits across nearly all business functions. The gap matters. Enterprises have gained broad experience using AI as a tool, but many are only beginning to understand AI as an actor inside an operating model. I call the resulting challenge the enterprise authority gap: The distance between the speed at which intelligent systems can act and the enterprise’s ability to define, constrain and account for that action. Closing that gap will require more than an AI policy. It will require an architecture for decision rights. The authority gap is becoming an operating risk Traditional systems execute permissions. AI-enabled systems increasingly interpret intent. That is a fundamental change. A conventional applicatio…

Ensuring Code Compliance in Public Sector Software Projects

The public sector handles sensitive citizen data, which is why software projects built with secure coding are imperative to deliver high trust levels. Code compliance with data protection laws, financial governance standards, and various regulations and policies is an obligation that must be consistently met to maintain trust and accountability. According to IBM’s Cost of […]

Unstuck - Ubiquitous Just-in-Time Interventions to Unleash Creativity and Sustain Wellbeing of Creative Professionals

Unstuck - Ubiquitous Just-in-Time Interventions to Unleash Creativity and Sustain Wellbeing of Creative Professionals robyn.cherinka… Mon, 08/31/2026 - 14:40 Creative professionals often experience "stuckness," moments when ideas stall, or motivation fades. We define creative stuckness as a temporary state of self-regulatory misalignment - an impasse marked by perceived obstruction of progress and dysregulation of attention, affect, and motivation. Unstuck is a ubiquitous just-in-time system that detects contextual cues of stuckness and delivers brief, autonomy-preserving micro-interventions. A formative study with twelve professionals identified these mechanisms and informed a library of 98 interventions spanning embodied, cognitive, and reflective strategies. In a five-week deployment with 225 creative professionals (106 Control, 58 Random, 61 adaptive MLB), both intervention arms improved creative self-efficacy, coping, and wellbeing and produced consistent creativity boosts. 77% reported that Unstuck helped them manage their creativity and focus. Three months later (N=110), nearly 60% continued using Unstuck-inspired strategies such as mindful resets, reframing, and movement. These findings show that short, context-aware interventions can transform transient impasses into lasting self-regulation and creative wellbeing. Image Jun 15, 2026 Human-Centered AI Read More 1 Minute Read

OpenAI starts charging some customers only when its AI actually works

OpenAI is offering some large customers outcome-based pricing, where they pay only once the AI actually finishes a task. Salesforce, Adobe, and several startups are also moving away from fixed subscription fees. The central dispute stays the same. Who gets credit for the success, the software or the customer? The article OpenAI starts charging some customers only when its AI actually works appeared first on The Decoder .

ChatGPT to face tougher regulation in the EU

OpenAI will soon be held accountable for mitigating risks related to ChatGPT's impact on minors, user mental health, and the spread of illegal content in the European Union. That's because ChatGPT is now considered a Very Large Online Search Engine under the EU's Digital Services Act, a set of laws regulating major online services and […]

Commission designates ChatGPT, Reddit, Roblox under Digital Services Act

Commission designates ChatGPT, Reddit, Roblox under Digital Services Act Anonymous (not verified) Mon, 08/31/2026 - 11:10 The Commission has designated ChatGPT as a Very Large Online Search Engine (VLOSE), as well as Reddit and Roblox as Very Large Online Platforms (VLOPs), under the Digital Services Act (DSA). These services declared that they reach at least 45 million average monthly users in the EU and thus meet the threshold for designation. Following the notification of the designations, these services have four months, i.e. by January 2027, to comply with the additional DSA obligations for VLOPs and VLOSEs, such as assessing and mitigating the systemic risks stemming from their service and algorithmic systems related to the dissemination of illegal content, the negative effects on minors, users’ physical and mental well-being, fundamental rights, electoral processes and public security. Read the full press release Find further information about: Supervision of the designated very large online platforms and search engines under DSA Digital Services Act – main aspects of the regulation User rights under the Digital Services Act – an overview Related topics Online platforms and e-commerce DSA - Digital Services Act

Governance by design: Turning AI policy into executable controls

Governance determines whether a generative AI program remains a set of pilots or becomes a durable capability. I treat governance as engineering work. The goal stays simple. The system should behave within policy, every day, under change. I define governance by design as the practice of encoding policy into build and runtime controls that enforce access, constrain actions, capture evidence, and measure drift. Policies become executable rules. Evidence becomes a byproduct of normal operation. Teams ship faster when governance runs as part of delivery. Enterprises already understand this pattern. Payment systems embed controls for fraud and chargebacks. Customer data platforms embed consent and retention. Generative AI needs the same approach because it touches data boundaries, produces content, and increasingly takes actions through tools. Adnan Masood Start with a threat model that reflects real usage A threat model is a short description of what can go wrong, who gets harmed, and where controls belong. I keep it concrete. I focus on the failures that appear in production. Data exposure through prompts, logs, or model outputs. Sensitive data can move across trust boundaries quickly. Prompt injection and indirect instruction. A user message or retrieved document can steer the system toward unsafe actions. Source integrity risk. Retrieval can surface outdated, incorrect, or tampered documents that look authoritative. Tool misuse. Agents and assistants can write to systems of r…

Snickers Says Even Your AI Chatbot Isn’t Itself When It’s Hungry

Snickers and BBDO have created two films that demonstrate AI acting unlike itself

Dubai activates 150 ambulance points as pupils return to school

US-China AI rivalry needn’t preclude cooperation

Artificial intelligence (AI) poses risks that do not respect national borders, from cyberattacks and misinformation to system malfunction and potentially dangerous misuse. In a geopolitically charged world, does greater incompatibility between countries make AI safer? UN Secretary General Antonio Guterres offered a clear answer at the inaugural UN Global Dialogue on AI Governance: “When countries align on how to test systems, measure risk and assign responsibility, safety travels with the...

U.S. court rules Pentagon's blacklisting of Anthropic was unlawful

A federal court in San Francisco has ruled that the Pentagon unlawfully classified Anthropic as a supply chain risk. The Department of Defense blacklisted the company in retaliation for its public criticism of government AI policy. The designation formally remains in place because a parallel case in Washington is still pending. The ruling still sends an important signal ahead of Anthropic's planned IPO this fall. The article U.S. court rules Pentagon's blacklisting of Anthropic was unlawful appeared first on The Decoder .

Aligning roadmaps for acquisitional growth

Companies grow in many ways, and physical security must keep pace. Sometimes growth occurs naturally through the evolution of internal business programs, but other times one company grows by acquiring another one, and it’s often a company that’s very different from the one that’s doing the acquiring. Growth is exciting, but with growth through acquisition, security teams face challenges around integrating two sets of dissimilar systems, processes, org charts and security cultures. These planning tips should help keep you agile and prepared when your security team encounters acquisitional growth. Converging to an integrated roadmap When one company acquires another, there’s an inevitable mismatch between security programs and plans . Company A might have mature processes but outdated systems; Company B might have recent tech but few processes for integrating its use. Or the companies might have different deployment and application philosophies. Sometimes the company being acquired has no formal physical security program at all. The security culture at each company can also clash: one uses phone-based mobile credentials, while the other uses proximity access cards; one is rigorous about securing its IP due to strict regulations, while the other can historically afford to be more casual. These disconnects intensify when the acquired company’s people aren’t motivated to adopt the policies and practices of their acquirer. Guess what? Very soon, they’ll all need to play together a…

Report: Child Rights Commission is creating social media code of conduct for children’s safety online

NCPCR is developing a social media code for children following a MeitY consultation on age-gating, platform regulation and online safety. The post Report: Child Rights Commission is creating social media code of conduct for children’s safety online appeared first on MEDIANAMA .

New Index maps Africa’s AI governance gap

Lawyers Hub ranks 54 countries across eight pillars for governance index

As Meta Agrees to $17B Settlement, Now Is the Time to Regulate AI Before It’s Too Late: Amba Kak

Amba Kak, the co-executive director of AI Now Institute, joins Democracy Now for a wide-ranging discussion on tech policy, regulation, and accountability. The post As Meta Agrees to $17B Settlement, Now Is the Time to Regulate AI Before It’s Too Late: Amba Kak appeared first on AI Now Institute .

Apple escaped Android's 'toxic hellstew' - now Siri AI is creating a new one

Apple's new toxic hellstew is a battle over regulation, litigation, and keeping your data safe.

The AI governance test most marketers are missing

When AI gets a marketing decision wrong, the fix could belong in the rule, the control, the implementation or the authority behind it. Here's how to tell. The post The AI governance test most marketers are missing appeared first on MarTech .

Bill Gates warns AI is more dangerous than the tech industry will admit

Bill Gates warns in an essay and an NYT interview about mass unemployment and easier bioterrorism through AI, and he accuses his own industry of deliberately hiding the risks. "It's bad for us, for the next trillion we're trying to raise." He rejects self-regulation and instead calls for institutions modeled on nuclear weapons control and a token tax on AI use. The article Bill Gates warns AI is more dangerous than the tech industry will admit appeared first on The Decoder .

Fire kills 14 newborns at major hospital in Pakistan, officials say

Poor enforcement of building safety regulations in Pakistan has been blamed for the high death toll in fires.

Now Perplexity is trying to get into the local AI action

Amid talk of an Nvidia deal, the AI search biz is looking beyond the cloud

Waymo robotaxis are headed to Munich

Germany's autonomous vehicle regulations have made it a hotspot for autonomous vehicle testing and eventual commercial robotaxi deployment.

Australia may face a rush of datacentre construction as AI firms look to avoid upcoming rules, experts say

Regulations will require new sites to avoid pushing up power prices by building renewable energy plants and minimising water use Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Planned datacentres around Australia may avoid strict new rules being proposed by Anthony Albanese if they can secure approvals in the coming months, amid growing calls for a moratorium. The prime minister is aiming to come to an agreement with national cabinet on federal regulations for datacentres at a meeting on Wednesday. Continue reading...

UN and Red Cross warn 'risks have intensified,' urge regulation of killer robots

Lethal autonomous weapon systems are generally understood as weapon systems that select targets and apply force without human intervention.

Executive alignment is a transformation accelerator. Can CIOs unlock its value?

Organizations are investing heavily in technology platforms, data, AI capabilities and governance frameworks to drive transformation at scale. Yet when it comes to quantifying value — ROI, operational cost savings, improved customer experience — many leaders struggle to demonstrate meaningful impact. Research points to a growing challenge: Technology adoption is getting easier; proving its value remains difficult. An IBM CEO survey reports that only 25% of AI initiatives have delivered expected ROI over the last few years, and only 16% have scaled enterprise-wide. Part of the challenge may be that leaders are not aligned on what success looks like. A Gartner survey found an expectations gap between CFOs, who primarily use AI to improve productivity and efficiency, and boards, which expect AI to drive revenue growth, intelligence and competitive advantage. The result is a disconnect between AI activity and perceived business value. Recent Protiviti research suggests that this misalignment extends across the executive suite. Executive confidence in achieving transformational objectives, operational cost savings and AI ROI — even perceptions of the organization’s technological maturity — varies significantly depending on which leader you ask. Among those responses, the technology leader — CIO or CTO — emerges as one of the most confident, with priorities centered on AI, data and compliance, and a strong view of their organizations’ technological maturity. But being the most con…

Y'all Street is booming: What financial giants like Morgan Stanley and Goldman Sachs are building in Texas

From Morgan Stanley to Goldman Sachs, Wall Street stalwarts are expanding in Texas, drawn by business-friendly taxes and regulations.

Is computational asymmetry and a digital 'realm' of an AI 'system' a theoretically possible and feasible solution to contain and control AGI/ASI? [closed]

Give Superintelligence a World of Its Own — and Keep the Keys Regulation can't keep up with AI. So stop regulating the intelligence — regulate the world it lives in. Between 2023 and 2026 the AI debate quietly shifted from "will it work?" to "who is in charge?" Large language models became workplace fixtures, forecasts for artificial general intelligence shortened to years, and superintelligence moved from dinner conversation into government procurement documents. The world's response, meanwhile, has been paper: guidelines, frameworks, acts. Paper matters — but paper cannot intercept a runaway process. Over three years I have developed a different answer, now distilled in a technical whitepaper: do not regulate the intelligence; regulate the world it lives in. Give machines a world of their own — sealed, mediated, constitutionally bounded — and keep the only bridge in human hands. A sealed machine realm. The proposal starts from a blunt observation: the public internet was never designed to be safe for superintelligence, so we should stop letting advanced AI live on it. I propose a parallel, isolated stack — "System B" — physically and logically separate from the internet and IoT, with its own protocol stack, workspaces and gateways. Inside it, two nested constructs: a Virtual Digital Environment, a high fidelity digital representation of the physical world — people, ecosystems, economies, objects — in which advanced systems may research, test and operate; and beneath it, a…

China slams EU foreign subsidies rules, links them to trade talks

Beijing’s broadside against the Foreign Subsidies Regulation puts pressure on the recently relaunched trade dialogue.

Mexico regulation proposal sparks censorship fears

Under the plan, officials would be able to determine whether news coverage was sufficiently true or balanced, with breaches potentially costing companies as much as 1% of their annual revenue.

Data Centers Are Spreading. So Are Moratoriums.

Concerns about environmental impacts from data centers have dovetailed with a broader backlash to AI. Dozens of jurisdictions have adopted or debated moratoriums, hoping for more time to adopt robust regulations — or for the AI bubble to burst. The post Data Centers Are Spreading. So Are Moratoriums. appeared first on AI Now Institute .

Debates over AI consciousness are a trap

“Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominent tech leaders such as Demis Hassabis, Dario Amodei, and Sam Altman push for regulation of these seemingly “superhuman” systems, while a separate faction, led by policy organizations…

Looking to avoid agentic failure? These 13 AI evaluation tools will help

At their deepest level, LLMs are still a kind of magic. Even the developers who build them find them to be, channeling Winston Churchill, “a riddle, wrapped in a mystery, inside an enigma.” That’s why everyone working with LLMs in their enterprise stack needs a way to peer into the dark mass of weights to help make sense of these numerical beasts. Lately there’s been an explosion of tools that can assist. Companies are building platforms that sit in an agentic AI niche market that might be called “Evaluation and Benchmarking.” This tools track the best performing LLM or agentic options, testing their fit and watching over them as they chew through tokens. With agentic AI still an emerging technology class, the boundaries between its nascent market niches are far from set. There are other sets of tools for tracking raw performance, an area that some call “AgentOps” or “Observability.” (See “ 19 AgentOps tools for monitoring AI activity, issues, and costs .”) And still more tools that focus on maintaining our faith in agent answers and on building controls to keep agents from straying, a niche that’s starting to be called “Trust and Guardrails.” Other AI-Related Tools for Solutions for Your AI Fleet • 20 AI workflow tools for adding intelligence to business processes • 21 agent orchestration tools for managing your AI fleet • 19 AgentOps tools for monitoring AI activity, issues, and costs • 19 vibe coding tools for democratizing app development Some of the vendors operating in…

heise-Angebot: iX-Webinar: AI Act kompakt – Kennzeichnung, KI-Kompetenz, Hochrisiko-KI

Erfahren Sie, wie Sie die neuen Anforderungen des AI Acts an Kennzeichnung, KI-Kompetenz und Hochrisiko-KI in Ihrem Unternehmen praktisch umsetzen können.

Slow Regulation on AI-Generated CSAM is Failing its Victims

Artificial intelligence is reshaping the production of child sexual abuse material (CSAM) online, enabling new forms of exploitation that are outpacing the legal and regulatory frameworks designed to contain them.

Lowdown: SEC’s proposed regulation for investment contracts with crypto assets

The US SEC has proposed tailored rules for certain crypto offerings, including fundraising exemptions, project-specific disclosures, state-law preemption, and a safe harbor for tokens to shed securities status. The post Lowdown: SEC’s proposed regulation for investment contracts with crypto assets appeared first on MEDIANAMA .

AI can demystify supply chain regulations for global businesses — if geopolitics don't get in the way

The Chinese Ministry of Commerce added seven US companies, including Altana, to its countermeasures list amid US-China trade tensions.

Compassion is not a control: What veterinary practices reveal about AI governance

The lobby is loud before the appointment begins. Dogs are barking, a phone is ringing and someone at the front desk is checking out with discharge papers in hand. A worried client is called into an exam room with a yellow Lab whose tail gives one soft thump against the floor, even though the dog does not really want to stand. Inside the room, the client sits on the bench and hands the dog over for digital X-rays, hoping for the best while preparing for the worst. The veterinarian gently takes the leash, gives the dog a calm pat on the head and tries to project both confidence and compassion. The client speaks quickly, then more softly, trying to explain two days of changes: not eating, not wanting to jump, a strange cry when the dog was picked up, maybe a limp. A technician is typing into the practice software on a laptop at the counter, trying to capture the history while keeping the visit moving. The team is listening, documenting, reassuring and preparing for the next step while the phone keeps ringing beyond the exam room door. This is the ordinary pressure of veterinary medicine: skilled people doing their best in a noisy, time-sensitive environment. That is exactly where AI tools can start to look appealing. A tool that drafts the note, summarizes the history, organizes records, flags an image or generates follow-up instructions may feel less like futuristic technology and more like relief. Veterinary publications are already discussing AI applications in practice , in…

Anthropic CEO says AI centralizes by nature and open models just shift power to whoever owns the chips

An open fight over AI regulation has broken out on X. Investor Gavin Baker, former White House adviser David Sacks, and Meta researcher Yann LeCun accuse Anthropic CEO Dario Amodei of using fear rhetoric to buy himself a regulatory advantage. Amodei counters that regulation can also rein in corporate power, and that open models alone just shift power toward the players with the most computing muscle. The article Anthropic CEO says AI centralizes by nature and open models just shift power to whoever owns the chips appeared first on The Decoder .

As AI beats doctors, regulators shouldn't force a human into the loop, JAMA piece says

An opinion piece in the medical journal JAMA argues that autonomous AI will soon outperform any doctor-AI team at medical reasoning tasks. The authors warn against writing a doctor's final say into regulation, but concede that almost all the evidence comes from simulations, not real patient care. The article As AI beats doctors, regulators shouldn't force a human into the loop, JAMA piece says appeared first on The Decoder .

DOJ probes Andreessen Horowitz over partners sitting on competing AI boards

Andreessen Horowitz is the focus of an antitrust probe by the US Justice Department. The charge is that the firm's partners sit on the boards of competing data firms Databricks and Fivetran at the same time. The venture capital firm's close ties to the Trump administration add a twist, since it has actively lobbied for the administration's AI deregulation. The article DOJ probes Andreessen Horowitz over partners sitting on competing AI boards appeared first on The Decoder .

Claude to start watermarking AI-generated text – but will it make quality worse?

Anthropic says it will change way chatbot makes small, random choices, to comply with EU regulation The world is familiar by now with the usual tropes of machine-generated text: overuse of the word “delve”, an excess of em dashes, and the chirpy, relentless construction of “it’s not X but Y” . But is it about to get even worse? Continue reading...

Lowdown: Parliamentary committee on finance calls for digital competition bill, e-commerce code of conduct

The committee wants a shift towards proactive ex-ante regulation of digital markets with the finalisation of the competition bill and introduction of an ecommerce code of conduct. The post Lowdown: Parliamentary committee on finance calls for digital competition bill, e-commerce code of conduct appeared first on MEDIANAMA .

Your enterprise isn’t ready for enterprise AI

Let’s say one of your teams builds an AI agent that actually works. Word gets around, and seemingly overnight, there are twenty more built by people in finance, legal, HR, and support. Most of them are useful, but when someone suddenly gets a chatbot response showing customer data they shouldn’t have access to, reality hits. The real test of enterprise AI readiness isn’t at all whether your coworkers can confidently work with AI. Instead, it has everything to do with governance and security, global, cross-cutting policy, and privacy. Many enterprises are underprepared to face these issues: a survey from Databricks and the Economist found that “40% of respondents believed their organization’s AI governance program is insufficient.” And Microsoft’s Data Security Index reports that “only 47% of organizations across industries report they are implementing specific GenAI security controls.” Having worked with many CIOs to develop strategies to govern their AI systems, this piece is a deep dive into the specifics of what works and what doesn’t. Keeping employees, customers and your entire organization safe must be your top priority before you even start rolling agents out. 8 layers of governance every enterprise needs It’s no doubt that the enthusiasm for AI is real, but so is the list of questions that bubble up a month later: Who’s allowed to publish an agent to the rest of the company? How do we track versions, and can we roll one back? Can we require SSO on every agent? What d…

heise-Angebot: Last Call: KI im Unternehmen verankern – vom Use Case zu skalierter KI-Strategie

In fünf Sessions lernen IT-Entscheider, KI strategisch im Unternehmen zu verankern und dabei Mitarbeitende mitzunehmen – alles im Einklang mit dem EU AI Act.

Let's Try to Improve How Conversational AI Responds to Prematurely Submitted Inputs!

From Response Timing to Response Readiness Hello everyone, The distinction above leads to one further point. If a conversational AI needs to determine whether this is the right moment to respond , then response generation cannot be treated as the first decision in a dialogue. There must be a preceding judgment: “Am I ready to respond to this input?” This is not simply a question of whether the system can generate an answer. The AI may be technically capable of producing a response while still determining that responding now would be inappropriate . For example, if a message appears to have been submitted prematurely, generating a plausible answer to the visible text may actually reduce the quality of the dialogue. This suggests a simple but important distinction: Response Generation asks: “What should I say?” Response Timing Recognition asks: “Should I say something now?” Response Readiness asks: “Is the dialogue currently in a state where responding is appropriate?” The third question is broader. It considers not only the apparent completeness of the input, but also whether the user’s intention appears sufficiently expressed, whether the current message is likely to be premature, and whether responding would appropriately advance the dialogue. This leads to a broader principle: A conversational AI should not treat every received input as an instruction to generate a response. Sometimes the most appropriate conversational action may be to wait. This does not mean that the AI…

Anthropic defends and explains its AI watermarking feature

Anthropic addresses concerns about its new watermark, which will affect Claude users globally. It said the watermark is to comply with the EU AI Act.

Manual vs. AI-powered PDF redaction: protecting sensitive data in 2026

Research shows that humans play a role in 60% of breaches that expose sensitive data. That “role” often involves an employee falling for a phishing scam or using PASSWORD for their login credentials, but data exposure can also be a result of how your business redacts sensitive and personally identifiable information (PII) in your documents. Historically, manual, “black-box” redaction was considered best-practice, but this approach only obscures data, it doesn’t permanently remove it. As regulations governing data security get stricter and AI-powered redaction solutions become more accessible, organizations—especially those in highly regulated industries—are re-evaluating their PDF redaction solutions. How manual PDF redaction is different from AI-powered PDF redaction The primary difference between manual and AI-powered PDF redaction is who (or what) you rely on to do the heavy lifting. Manual redaction defined Manual redaction is a human-driven process where individuals visually scan text, select content, and apply black boxes or remove the text before sharing or storing the file. Manual redaction is only as effective as the reviewer, which makes outcomes highly variable, especially under time pressure or high document volume. AI-powered redaction defined AI-powered redaction uses machine learning and natural language processing (NLP) to automatically detect and remove sensitive information from documents. The system is trained to recognize patterns, language cues, and cont…

New commercial fraud regulations come into force in the UAE today

Vietnam’s national programme on AI human resources development approved

An AI-integrated education system will be established across all levels and types of education, with 100 per cent of higher education institutions expected to introduce regulations governing the use of the technology in training, research and assessment.

The White House Is Going to Expand Its AI Policy

Open models may soon be added to an updated AI framework, sources tell WIRED, as the White House continues to grapple with how to regulate a technology it has tried not to regulate.

As AI safety concerns mount, three pioneers make the case for staying open

At Ai4, three of the world's most respected AI experts — Geoffrey Hinton, Fei-Fei Li, and Andrew Ng — debated regulation, open source access, and how America can compete as China advances in Asia.

Progressive lawmakers prepare AI regulation push

“The foundational idea here is that you shouldn't lose your freedoms because of the development of AI,” Progressive Caucus Chair Rep. Greg Casar, D-Texas, told Semafor.

Inconsistent AI Chatbot Responses on African Politics Risk Eroding Trust, Governance Experts Warn

Inconsistent responses from leading AI chatbots on politically sensitive topics risk eroding public trust and complicating Africa’s emerging AI governance landscape, according to African technology policy specialists. The warning follows a Meta Oversight Board study finding that major AI models are significantly more likely to refuse requests critical of governments in countries with restrictive speech [...]

Don’t let AI negotiate with reality

We are all transforming now. Some companies have formally named transformation programs. Others are being transformed by a new regulation, an AI mandate, a cyber event, a weather disruption, a change in customer behavior, a competitor’s move or an urgent demand to reduce costs. The label is almost beside the point. The operating assumptions keep changing, and the company has to change with them. Accenture’s Change Reinvented research found that 95% of organizations had undergone at least two transformations in three years, while only 30% of C-suite leaders expressed confidence in their organizations’ change capabilities. More recently, a McKinsey Global Survey of more than 1,200 executives and managers found that 40% expect their current business models to require significant change within three years simply to remain economically viable. Transformation is no longer an event that temporarily interrupts normal operations. It is becoming normal operations. That changes the role AI is beginning to play. We are not using it only to draft emails, summarize documents or write code. We are increasingly asking it to interpret complex situations, identify options, recommend priorities and influence consequential business decisions. I believe that can be enormously valuable. I also believe it requires a boundary we have not defined clearly enough. AI should help us understand reality. It should not be allowed to negotiate with it. The impossible request I have sat in versions of this…

Zuckerberg cites China threat to US lead in AI manifesto

Meta Platforms CEO Mark Zuckerberg published a 6,500-word essay outlining his vision for artificial intelligence (AI), backing development of open-weight models and arguing that overregulation risks surrendering US leadership to China. “American communities will have greater prosperity and security if America and its allies lead in AI compared to geopolitical rivals,” the Facebook billionaire wrote in the essay, which was published on Monday. Still, the US faces a “significant disadvantage” as...

Fewer rules: Europe was built on coal and steel, not paperwork

The EU keeps churning out new rules, writes Gitta Connemann, head of Germany's CDU's influential business association, MIT. Small and medium-sized businesses bear the brunt of EU bureaucracy, she argues, calling for a halt to new regulation and for rules that add no value to be scrapped.

The Guardian view on AI money in US politics: not the way to hold an urgent democratic debate | Editorial

Amid public concern over the impact of new technology, Silicon Valley’s use of its wealth to influence specific election races is an unwelcome development As the huge societal ramifications of artificial intelligence have become clear, some of the tech industry’s most senior figures have taken to writing thinkpieces on what comes next. The latest to do so is Mark Zuckerberg, who this week published 6,500 words making the case for a laissez-faire approach to AI development. Worrying too much about regulation, Meta’s CEO unsurprisingly opines, could lead to the United States falling behind in the race to own the future. Mr Zuckerberg’s plea for maximum autonomy is, of course, self-serving. Much of his essay – which airily envisions “invention superpowers” for every entrepreneur and “an abundance of jobs in the future” – reads like unadulterated tech-utopianism. But the lobbying at least has the merit of being out there in the open. As midterm elections loom in the US, darker arts are also being used to counter popular concern about what AI will mean for a host of topics, from the labour market to child safety, the environment and cybersecurity. Continue reading...

AI governance work needs much better monitoring

Linkpost for my Substack piece, adapted a reasonable amount for EA specifically. Almost all EA projects would benefit from better monitoring, but AI governance most of all, in my experience. Most donors in EA never find out whether their grants worked. They model the impact before the money goes out, but don’t check if the models were accurate. Evaluating impact is hard, but monitoring grant progress is simple: agree indicators in writing before you send the money, ask the grantee to put a probability on each, and score them once a year. Charities usually send grant reports anyway. Unless you ask for something specific, they rarely contain the most useful information. A recent report to a client touted the project’s success: it had made 20 policy recommendations. When pressed, the grantee responded that only 20% had been implemented, even partially. A 20% implementation rate may or may not be a good outcome. Either way, it wasn’t the outcome they reported, or what they were asked to report by the donor. Ironically, this is pervasive in ‘evidence-based giving’, and particularly in AI governance work. How much do donors know about what their grants achieved? When it comes to individual donors, often nothing. ‘Evidence-based giving’ typically applies before the grant. We are very good at modelling what a grant might achieve. We’re surprisingly bad at checking what it did. This varies by sector. Frontline global health interventions routinely monitor outputs - clinic visits, vac…

Exclusive: ZeroDrift applies small language model to prevent AI-generated compliance violations

“This investment is guaranteed to return 12% annually.” A claim like that in an email from an investment adviser is a regulatory disaster. Regulations prohibit financial firms from promising returns and require a proviso that past performance doesn’t guarantee future results. In the age of artificial intelligence, fewer communications are going through human hands, and […] The post Exclusive: ZeroDrift applies small language model to prevent AI-generated compliance violations appeared first on SiliconANGLE .

Claude Now Watermarks Everything It Makes

First, pick the line that applies to you. Since August 2nd, 2026, Claude marks all content during generation. For instance, text receives a hidden watermark, while files receive a signature. Anthropic committed to the EU AI Act’s Code of Practice on Transparency of AI-Generated Content. Consequently, all content generated by Claude models will carry a […] The post Claude Now Watermarks Everything It Makes appeared first on Analytics Vidhya .

EU compliance, delivered globally: Anthropic to watermark Claude's output worldwide

Anthropic will invisibly watermark all of Claude's text and file output from 2 August to meet EU AI Act transparency rules, with the marking applied globally, whether or not the user is anywhere near Brussels.

Anthropic to embed watermark and C2PA metadata for AI-generated text and media by Claude

Claude now embeds watermarks in text and C2PA provenance metadata in media to comply with the EU AI Act's Article 50(2) Code of Practice, applied worldwide, with detection tools coming soon The post Anthropic to embed watermark and C2PA metadata for AI-generated text and media by Claude appeared first on MEDIANAMA .