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
MIT source entries
24 entries across 17 papers
  • Bengio2024International Scientific Report on the Safety of Advanced AI49.02.03
  • Chin2025Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks68.04.00
  • DSIT2023Capabilities and Risks from Frontier AI67.04.02 67.04.03 67.04.05
  • Everitt2018AGI Safety Literature Review51.08.00
  • G'sell2024Regulating under Uncertainty: Governance Options for Generative AI47.02.14
  • GOS2023Future Risks of Frontier AI56.13.00 56.16.00
  • Hendrycks2023An Overview of Catastrophic AI Risks22.04.00
  • InfoComm2023Cataloguing LLM Evaluations43.02.11
  • Ji2023AI Alignment: A Comprehensive Survey34.02.03
  • Leech2024Ten Hard Problems in Artificial Intelligence We Must Get Right54.02.06
  • McLean2023The risks associated with Artificial General Intelligence: A systematic review08.01.00
  • Nah2023Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration33.03.02
  • Tse2025Frontier AI Risk Management Framework (v1.0)72.02.00 72.02.02 72.05.04 72.06.02
  • Uuk2025A Taxonomy of Systemic Risks from General-Purpose AI61.01.01
  • Weidinger2023Sociotechnical Safety Evaluation of Generative AI Systems18.05.00
  • Wirtz2022Governance of artificial intelligence: A risk and guideline-based integrative framework19.01.00 19.01.01
  • Zeng2024AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies50.01.05

Ev IDs of the entries consolidated into this risk in the MIT AI Risk Repository (V4); the source sheet row appears on hover.

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
1
  • A.2 ISO/IEC 23894 Annex A A.2
2
  • A.6.2.6 ISO/IEC 42001 Annex A A.6.2.6
  • A.9.2 ISO/IEC 42001 Annex A A.9.2
2
  • Art. 14
  • Art. 26(2)

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.