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MR-048 Human & usage Organization scope

AI competence and skills gaps in the organization

The deployer lacks the AI expertise, literacy, or capacity needed to safely develop, procure, and operate AI systems.

Risk family
Human & usage
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
  • Hogenhout2021A framework for ethical Ai at the United Nations06.13.00
  • Wirtz2022Governance of artificial intelligence: A risk and guideline-based integrative framework19.01.05 19.04.04

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.3; src 4 | 42001 ctrl A.4.6, A.3.2
EU AI Act articles
Art. 4

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.3 ISO/IEC 23894 Annex A A.3
2
  • A.3.2 ISO/IEC 42001 Annex A A.3.2
  • A.4.6 ISO/IEC 42001 Annex A A.4.6
1
  • Art. 4
Cross-checksframeworks mapped in to test coverage
1
  • ibm-lack-of-domain-expertise Lack of domain expertise partial

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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.