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

Source frameworks

Hogenhout2021, Wirtz2022

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

ISO 238941

A.3 ISO/IEC 23894 Annex A A.3

ISO 420012

A.3.2 ISO/IEC 42001 Annex A A.3.2
A.4.6 ISO/IEC 42001 Annex A A.4.6

EU AI Act1

Art. 4

Cross-checksframeworks mapped in to test coverage

IBM1

ibm-lack-of-domain-expertise Lack of domain expertise partial

More in Human & usage

MR-030 MR-032 MR-033 MR-034 MR-035 MR-036 MR-038 MR-041 MR-060

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.