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

MIT source entries

9 entries across 8 papers

AIVerify2023Summary Report: Binary Classification Model for Credit Risk26.09.00
Gabriel2024The Ethics of Advanced AI Assistants24.10.03
Maham2023Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks52.03.00
Perlo2025Embodied AI: Emerging Risks and Opportunities for Policy Action70.04.02
Schnitzer2024AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks59.27.01 59.27.02
Teixeira2022An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance42.22.00
Uuk2025A Taxonomy of Systemic Risks from General-Purpose AI61.02.14
Wirtz2022Governance of artificial intelligence: A risk and guideline-based integrative framework19.06.01

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 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

A.2 ISO/IEC 23894 Annex A A.2

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

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

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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.