Individual Fairness
The principle that similar individuals should receive similar treatment from an AI system, typically formalised as a consistency constraint on the model's outputs for comparable inputs.
In plain language
The idea that two similar people should get similar results from an AI. If two job candidates have nearly identical qualifications, the AI shouldn't treat them very differently.
Why this matters
Individual fairness governance complements group fairness and is important for legal defensibility. Your governance framework should address both, ensuring AI does not produce arbitrary or inconsistent outcomes for similar cases.
Relevance
GovernanceIndividual fairness ensures AI systems produce consistent outcomes for similar inputs and supports legal defensibility.
Related terms
Putting individual fairness into practice in your organisation?
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