MR-042 Governance & process Organization scope

Unclear accountability and responsibility for AI decisions

Responsibility and liability for AI-caused harm are unclear or diffused across developers, deployers, and users.

Risk family: Governance & process
MIT domain: 6. Socioeconomic and Environmental
MIT subdomain: 6.5 > Governance failure
AI type: GPAI, Classical_ML, Agentic
Scope: Organization
Source standard: MIT AI Risk Repository v4

Provenance

Source standard

MIT AI Risk Repository v4

Source frameworks

8 source framework citation keys

AIVerify2023, Gabriel2024, Maham2023, Perlo2025, Schnitzer2024, Teixeira2022, Uuk2025, Wirtz2022

ISO/IEC references

23894 obj A.2; src 1 | 42001 ctrl A.3.2, A.10.2

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.10.2 ISO/IEC 42001 Annex A A.10.2
A.3.2 ISO/IEC 42001 Annex A A.3.2

Cross-checksframeworks mapped in to test coverage

IBM2

ibm-accountability-of-ai-agent-actions Accountability of AI agent actions
ibm-legal-accountability Legal accountability

More in Governance & process

MR-037 MR-043 MR-045 MR-046 MR-054 MR-062 MR-063 MR-066 MR-067 MR-068 MR-069 MR-070

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.