Safety, Ethics & Governance · beginner · concept 269 of 311 · Updated Nov 4, 2026
AI Ethics
AI ethics asks what AI should do, not just what it can do: fairness, privacy, transparency, consent, and who benefits or bears the harm. It turns into practical choices about training data, what a model may be used for, and who gets a say. Principles alone change little, so the useful work lies in applying them to a specific system.
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Top AI contributors on this
- Fei-Fei LiWorld Labs / Stanford University
- Timnit GebruDistributed AI Research Institute (DAIR)
- Margaret MitchellHugging Face
- Sara HookerAdaption Labs
- Yejin ChoiStanford University
- Yi ZengBeijing Institute of AI Safety and Governance / Renmin University of China
Key terms
FairnessTransparencyConsentAccountabilityHuman rights
Where you meet it in the real world
Hiring and lending tools, creative rights, surveillance decisions, public sector AI
Guides and articles