Find out more about AI's applications and implications, through a selection of audio and video recordings of past events, lectures and introductions to some of our education and training in AI.
Videos - past events and lectures
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UCL Artificial Intelligence
This conference took the broadest definition of artificial intelligence and brought together UCL members involved in Fundamental AI research and those who apply these tools to address research challenges in a wide range of fields.
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The Social Issues around Artificial Intelligence
This UCL Town Meeting was help in the context of UCL's Grand Challenge of Transformative Technology. The event, hosted by Professor Jon Agar and Professor Noreena Hertz, featured six, 6-minute, presentations followed by a question and answer session.
The Rise of the Automated Professional
The automation of tasks within the professions could augment and/or replace current roles, leading to fundamental changes across many sectors. This event explored the challenges and opportunities facing us. Click here to access this event's videos
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What if… we really wanted to prepare young people for the age of artificial intelligence?
Is it time for a more radical rethink of what and how we teach, or can a classic ‘liberal education’ – introducing children to ‘the best that has been thought and said’ in science and culture – continue to conquer all?
(also available as a podcast below)
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Artificial Intelligence and the future of learning
What makes a good teacher and a successful lesson? In this UCL Lunch Hour Lecture, Professor Luckin discusses what AI is telling us about how we learn and predicts how machines and humans will interact in the classrooms of the future.
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Internet of Wild Things - using technology to understand and safeguard our planet
Latest technological advances (such as sensing, analysing, monitoring, and responding to wildlife population declines) are helping us to better understand the natural world. But are we really ready for the Internet of Wild Things?
(also available as a podcast below)
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AI in healthcare - over-hyped or under-used?
What is the framework for evaluation of AI in research and clinical practice? For patients and clinicians, truly intelligent healthcare must strive to be patient-centred as well as data-driven. Is AI ready and is the NHS ready for AI?
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If self-driving cars are the answer... what's the question?
Self-driving cars are currently learning to drive. The enthusiasts think that they will make the world safer, cleaner, happier and more efficient. Critics worry that they could be dangerous. Who should we believe and how should we find out?
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Artificial Intelligence, ethics and the law: What challenges? What opportunities?
What are the ethical and legal impact of AI on our societies. In this panel, the Alan Turing Institute, of which UCL is a member, brings together five thought leaders on AI from the corporate sector, academia, politics, and civil society.
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Data for Policy Conference: Government by Algorithm? (day 1)
The UCL-hosted 2017
Data for Policy Conferencehighlighted “Government by Algorithm?” as its main theme, hosting a number of presentations on data-driven government and algorithmic decision-making with implementations ranging from health and crime prevention to crisis management and childcare.
YouTube Widget Placeholderhttps://www.youtube.com/watch?v=pU6nuY6qywc
Data for Policy Conference: Government by Algorithm? (day 2)
The UCL-hosted 2017
Data for Policy Conferencehighlighted “Government by Algorithm?” as its main theme, hosting a number of presentations on data-driven government and algorithmic decision-making with implementations ranging from health and crime prevention to crisis management and childcare.
Videos - education and training
YouTube Widget Placeholderhttps://www.youtube.com/watch?v=0j3vyhFdRMc
UCL Integrated Machine Learning Systems MSc
This MSc Programme launched in Sep 2019, teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. It offers students the know-how necessary to pursue a wide variety of careers in the general field of integrated machine learning systems engineering in start-ups, well-established companies, or indeed research.
Find out more about the MSc