MR-006 Model & system behaviour System scope

Disparate performance across groups and languages

The system performs measurably worse for some demographic groups, dialects, or languages, degrading service quality for those users.

Risk family: Model & system behaviour
MIT domain: 1. Discrimination & Toxicity
MIT subdomain: 1.3 > Unequal performance across groups
AI type: GPAI, Classical_ML
Scope: System
Source standard: MIT AI Risk Repository v4

Provenance

Source standard

MIT AI Risk Repository v4

Source frameworks

9 source framework citation keys

IBM2025, Li2025, Liu2024, NIST2024, Shelby2023, Solaiman2023, Weidinger2021, Weidinger2022, Weidinger2023

ISO/IEC references

23894 obj A.6, A.9; src 6; mech B.5 | 42001 ctrl A.7.4, A.6.2.4

Framework crosswalk

Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.

Sourcesframeworks that contributed to the register

ISO 238942

A.6 ISO/IEC 23894 Annex A A.6
A.9 ISO/IEC 23894 Annex A A.9

ISO 420012

A.6.2.4 ISO/IEC 42001 Annex A A.6.2.4
A.7.4 ISO/IEC 42001 Annex A A.7.4

Cross-checksframeworks mapped in to test coverage

IBM1

ibm-exclusion Exclusion partial

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Part of the Deployer AI Risk Register, an open-source resource developed by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.