Results for "demographic parity"

Systematic differences in model outcomes across groups; arises from data, labels, and deployment context.

Unequal performance across demographic groups.

Systematic review of model/data processes to ensure performance, fairness, security, and policy compliance.

A discipline ensuring AI systems are fair, safe, transparent, privacy-preserving, and accountable throughout lifecycle.

Ensuring models comply with lending fairness laws.

Ensuring decisions can be explained and traced.

Predicting disease progression or survival.

AI predicting crime patterns (highly controversial).

Models estimating recidivism risk.