Responsible AI.

Responsible AI encompasses fairness (avoiding bias), transparency (explainability), privacy (data protection), security (robustness), and accountability (clear ownership). Organizations implement responsible AI through governance frameworks, ethics boards, impact assessments, and ongoing monitoring. It's increasingly required by regulations and expected by users.