DARR
MR-054 Governance & process Both scope

Loss of meaningful human oversight and control

The deployer loses meaningful human oversight or control over (semi-)autonomous AI actions and decisions.

Risk family
Governance & process
MIT domain
7. AI System Safety, Failures, & Limitations
MIT subdomain
7.1 > AI pursuing its own goals in conflict with human goals or values
AI type
Agentic, GPAI
Scope
Both
Source standard
MIT AI Risk Repository v4

Provenance

Source standard
MIT AI Risk Repository v4
Source frameworks
17 source framework citation keys
Bengio2024, Chin2025, DSIT2023, Everitt2018, G'sell2024, GOS2023, Hendrycks2023, InfoComm2023, Ji2023, Leech2024, McLean2023, Nah2023, Tse2025, Uuk2025, Weidinger2023, Wirtz2022, Zeng2024
ISO/IEC references
23894 obj A.2; src 8; mech B.4 | 42001 ctrl A.6.2.6, A.9.2
EU AI Act articles
Art. 14 | Art. 26(2)

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 238941
  • A.2 ISO/IEC 23894 Annex A A.2
ISO 420012
  • A.6.2.6 ISO/IEC 42001 Annex A A.6.2.6
  • A.9.2 ISO/IEC 42001 Annex A A.9.2
EU AI Act2
  • Art. 14
  • Art. 26(2)

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.