Why it matters

Fairness is regulatory + ethical. Understanding shapes responsible AI.

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The architecture

Definitions: demographic parity (equal rates), equal opportunity (equal true positive), equal odds.

Fairness definitionsDemographic parityequal outcome ratesEqual opportunityequal TPRIndividual fairnesssimilar outcomesImpossible to satisfy all definitions simultaneously — pick meaningful ones
Fairness metrics.
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How it works end to end

Definitions incompatible: can't satisfy all at once.

Choose based on values + context.

Fairness through unawareness: don't use protected attribute (often insufficient).

Mitigation: adversarial debiasing, calibration.