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Glossary · Evaluation & safety

Fairness

Fairness in AI is the goal of ensuring a system's decisions and outputs do not produce unjustified differences in treatment or outcomes across groups, measured using defined fairness metrics and audits.

Fairness sits in the Evaluation & safety part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called AI fairness.