Disparate impact on protected groups

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

Mappings to external frameworks

Status. Each mapping shows what it rests on. Reviewed means a reviewer has confirmed the mapping against the concept’s current definition and the framework edition the taxonomy currently references; when the only confirmation is that of the person who wrote the mapping, it reads Reviewed (author’s confirmation). Outdated means it was reviewed, but the concept’s definition has changed since, so the review has to be repeated. The other statuses mean that no review has been recorded yet. Inherited mappings have been in the taxonomy since before v5.7.0 and are unchanged. They carry no record of who made them or how, and some were checked by hand when the taxonomy first published its mappings. Agent-proposed mappings come from a review carried out by AI agents, which read the framework’s text and the concept’s definition and agreed on the relation; no person has confirmed them yet. Provisional mappings were made without access to the framework’s text. Unreviewed mappings are older mappings whose target or relation was revised in v5.7.0, and any other mapping without a review. Mappings to a superseded edition of a framework are not shown: where the provision continues, they are carried to the current edition. Mappings a review has changed or rejected are not shown.

Standards & frameworks

Framework Reference Status
EU AI Act (Regulation 2024/1689) Article 10 — Data and data governance Unreviewed
EU AI Act (Regulation 2024/1689) Article 5(1)(c) — social scoring Agent-proposed
ISO/IEC 42001:2023 — AI Management System A.5.2 AI system impact assessment process Inherited
NIST AI Risk Management Framework (AI 100-1) Fair – with Harmful Bias Managed Agent-proposed
NIST AI 600-1 — Generative AI Risk Profile Harmful Bias or Homogenization Inherited

Taxonomies & vocabularies

Framework Reference Status
MIT AI Risk Repository Unfair discrimination and misrepresentation Inherited
MIT AI Risk Repository Unequal performance across groups Inherited
AIR 2024 Discrimination/Bias Agent-proposed
W3C Data Privacy Vocabulary — AI Extension Discrimination Inherited