AI Glossary/Responsible AI
AI Ethics

Responsible AI

Developing and deploying AI systems that are ethical, fair, transparent, and accountable.

In-depth explanation

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.

Examples

AI ethics guidelines
Bias audits
Impact assessments

More in AI Ethics

AI Bias

Systematic errors in AI systems that create unfair outcomes for certain groups.

Explainability

The ability to understand and interpret how an AI model makes its decisions.

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