https://taxonomy.eticas.ai/risk/disparate-impact-protected-groups
Maturity: established
The system produces systematically different — typically worse — outcomes for individuals belonging to protected groups, including across multiple intersecting attributes (race, gender, age, disability, etc.). Encompasses unequal allocation of opportunity, quality of service disparities, intersectional unfairness, and accessibility barriers.
Also known as: Disparate impact · Quality of service disparity · Allocation of opportunity · Intersectional unfairness · Accessibility barriers
System type: ADM and LLM systems
Lifecycle stages: Post Processing
| Framework | Reference |
|---|---|
| EU AI Act (Regulation 2024/1689) | Article 5(1)(c) — prohibited social scoring |
| EU AI Act (Regulation 2024/1689) | Article 10 — data and data governance |
| ISO/IEC 42001:2023 — AI Management System | AI system impact assessment |
| NIST AI 600-1 — Generative AI Risk Profile | Harmful Bias & Homogenization |
| NIST AI Risk Management Framework (AI 100-1) | Harmful bias / disparate performance |
| Framework | Reference |
|---|---|
| MIT AI Risk Repository | Unfair discrimination and misrepresentation |
| MIT AI Risk Repository | Unequal performance across groups |
| W3C Data Privacy Vocabulary — AI Extension | Discrimination |
| AIR 2024 | Discrimination & Bias × Protected Characteristics (60 Level-4 risks) |
| IBM AI Risk Atlas | Output → Fairness dimension |