Glossary term
Glossary term
Governance and Compliance
Property of AI systems that do not produce discriminatory outputs or disparate impacts across protected demographic groups.
IBM AI Fairness 360 toolkit is used by financial institutions to measure and mitigate disparate impact in credit-scoring models - measuring demographic parity, equalised odds, and individual fairness across race, gender, and age.
Airbnb's trust and safety team uses fairness audits on their listing-recommendation model, measuring click-through and booking rates across host demographics to detect and correct for racial discrimination in search rankings.
The COMPAS recidivism algorithm controversy (ProPublica 2016) established that AI fairness requires explicit metric choices - the same model can satisfy one fairness definition (calibration) while violating another (equal false positive rate), motivating multi-metric fairness evaluation.