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Introduction to Responsible AI Stay organized with collections Save and categorize content based on your preferences.

How do we build AI systems responsibly, at scale? Learn about Responsible AI, relevant concepts and terms, and how to implement these practices in products.

Estimated Read Time: 10 minutes Learning objectives:
  • Define Responsible AI and relevant dimensions, including fairness, accountability, safety, and privacy.
  • Describe potential harms and benefits of AI, and the importance of building AI responsibly.
  • Describe examples of Responsible AI dimensions and how they are implemented.

Develop and scale AI responsibly

Artificial intelligence (AI) powers many apps and services that people use in daily life. With billions of AI users across fields from business to healthcare to education, it is critical that companies work to ensure the benefits of these technologies far outweigh the harms.

Responsible AI considers the societal impact of the development and scale of these technologies, including potential harms and benefits. Google's AI Principles provide a framework to create the most helpful, safe, and trusted experiences for all. The principles include objectives for AI applications as well as applications we will not pursue in the development of AI systems.

Responsible AI dimensions

As you develop AI solutions, we recommend considering the following responsible AI dimensions:

  • Fairness
  • Accountability
  • Safety
  • Privacy

Next, we'll explore each of these dimensions.

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Last updated 2025-08-25 UTC.

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