Fairness (AI)

AI fairness is the principle that an AI system should not produce systematically biased outcomes that disadvantage individuals or groups based on protected characteristics.

Achieving fairness requires measurement, monitoring, and mitigation across the AI lifecycle.

Closely related concepts include Computer Use Agent, Post-Market Monitoring, Reward Hacking, AI Agent for Fraud Detection. Each is defined in the Prefactor glossary.