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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.
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:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-11-12 UTC."],[[["\u003cp\u003eResponsible AI is crucial for mitigating the potential harms and maximizing the benefits of AI technologies, impacting diverse fields like business, healthcare, and education.\u003c/p\u003e\n"],["\u003cp\u003eGoogle's AI Principles guide the development of AI applications to ensure helpful, safe, and trusted user experiences.\u003c/p\u003e\n"],["\u003cp\u003eKey dimensions of Responsible AI include fairness, accountability, safety, and privacy, all of which must be considered when developing AI solutions.\u003c/p\u003e\n"]]],[],null,["\u003cbr /\u003e\n\nHow do we build AI systems responsibly, at scale? Learn about Responsible AI,\nrelevant concepts and terms, and how to implement these practices in products.\n| **Estimated Read Time:** 10 minutes\n| **Learning objectives:**\n|\n| - Define Responsible AI and relevant dimensions, including fairness, accountability, safety, and privacy.\n| - Describe potential harms and benefits of AI, and the importance of building AI responsibly.\n| - Describe examples of Responsible AI dimensions and how they are implemented.\n\nDevelop and scale AI responsibly\n\nArtificial intelligence (AI) powers many apps and services that people use in\ndaily life. With billions of AI users across fields from business to\nhealthcare to education, it is critical that companies work to ensure the\nbenefits of these technologies far outweigh the harms.\n\n**Responsible AI** considers the societal impact of the development and scale of\nthese technologies, including potential harms and benefits. Google's\n[AI Principles](https://ai.google/responsibility/principles/) provide a\nframework to create the most helpful, safe, and trusted experiences for all. The\nprinciples include objectives for AI applications as well as applications we\nwill not pursue in the development of AI systems.\n\nResponsible AI dimensions\n\nAs you develop AI solutions, we recommend considering the following responsible\nAI dimensions:\n\n- Fairness\n- Accountability\n- Safety\n- Privacy\n\nNext, we'll explore each of these dimensions."]]