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.