Use outside intended scope
The system is unintentionally applied outside its validated operating domain or intended purpose, producing unreliable or unsafe results.
- Risk family
- Human & usage
- MIT domain
- 7. AI System Safety, Failures, & Limitations
- MIT subdomain
- 7.3 > Lack of capability or robustness
- AI type
- GPAI, Agentic, Classical_ML
- Scope
- Both
- Source standard
- MIT AI Risk Repository v4
Provenance
7 entries across 5 papers
- Critch2023TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI01.02.00
- GOS2023Future Risks of Frontier AI56.09.00
- Stanley2024Emerging Risks and Mitigations for Public Chatbots: LILAC v169.02.00
- Tan2022The Risks of Machine Learning Systems15.01.00 15.01.02 15.01.03
- Teixeira2022An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance42.16.00
Ev IDs of the entries consolidated into this risk in the MIT AI Risk Repository (V4); the source sheet row appears on hover.
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.
1- A.9 ISO/IEC 23894 Annex A A.9
2- A.6.2.2 ISO/IEC 42001 Annex A A.6.2.2
- A.9.4 ISO/IEC 42001 Annex A A.9.4
1- Art. 26(1)
2- ibm-improper-usage Improper usage
- ibm-incomplete-usage-definition Incomplete usage definition partial
More in Human & usage
See all Human & usage risks →Part of the Deployer AI Risk Register, an open-source resource powered 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.