Outcome disparities

https://taxonomy.eticas.ai/risk/bias-outcome-disparities

Risks related to unequal treatment, allocation, or performance outcomes across demographic and protected groups. These are observable differences in what the system does to or for different groups.

Mappings to external frameworks

Compliance

Framework Concept
EU AI Act (Regulation 2024/1689) Annex III high-risk uses (employment, education, essential services)
ISO/IEC 42001:2023 — AI Management System AI system impact assessment
AIUC-1 — AI Underwriting Company Standard Prevent customer-defined high-risk outputs

Reference frameworks

Framework Concept
NIST AI 600-1 — Generative AI Risk Profile Harmful Bias & Homogenization
NIST AI Risk Management Framework (AI 100-1) Manage 2.3 — allocation harms and disparate performance

Taxonomies & vocabularies

Framework Concept
MIT AI Risk Repository Unequal performance across groups
W3C Data Privacy Vocabulary — AI Extension Data Bias
AIR 2024 / AIR-Bench 2024 Discrimination & Bias (Discriminatory Activities)
IBM AI Risk Atlas Output bias (Fairness dimension)