Biased or discriminatory outputs and decisions
The system produces unfair or discriminatory outputs or decisions (e.g. in hiring, lending, services) that disadvantage individuals or groups, often from biased training data.
- Risk family
- Model & system behaviour
- MIT domain
- 1. Discrimination & Toxicity
- MIT subdomain
- 1.1 > Unfair discrimination and misrepresentation
- AI type
- GPAI, Agentic, Classical_ML
- Scope
- Both
- Source standard
- MIT AI Risk Repository v4
Provenance
32 source framework citation keys
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.
- A.6 ISO/IEC 23894 Annex A A.6
- A.5.4 ISO/IEC 42001 Annex A A.5.4
- A.6.2.4 ISO/IEC 42001 Annex A A.6.2.4
- A.7.4 ISO/IEC 42001 Annex A A.7.4
- Art. 10
- Art. 5(c)
- ibm-data-bias Data bias
- ibm-decision-bias Decision bias
- ibm-discriminatory-actions Discriminatory actions
- GENAI.6 Harmful Bias or Homogenization
More in Model & system behaviour
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.