Introduction to Responsible AI

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 minutesLearning 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 indaily life. With billions of AI users across fields from business tohealthcare to education, it is critical that companies work to ensure thebenefits of these technologies far outweigh the harms.

Responsible AI considers the societal impact of the development and scale ofthese technologies, including potential harms and benefits. Google'sAI Principles provide aframework to create the most helpful, safe, and trusted experiences for all. Theprinciples include objectives for AI applications as well as applications wewill not pursue in the development of AI systems.

Responsible AI dimensions

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

  • Fairness
  • Accountability
  • Safety
  • Privacy

Next, we'll explore each of these dimensions.

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Last updated 2025-08-25 UTC.