MR-049 Model & system behaviour System scope

Physical safety harm and accidents

Failures of AI in safety-critical systems, critical infrastructure, or embodied/robotic settings cause physical injury, accidents, or property damage.

Risk family: Model & system behaviour
MIT domain: 7. AI System Safety, Failures, & Limitations
MIT subdomain: X.1 > Excluded
AI type: GPAI, Agentic, Classical_ML
Scope: System
Source standard: MIT AI Risk Repository v4

Provenance

Source standard

MIT AI Risk Repository v4

Source frameworks

25 source framework citation keys

AIVerify2023, Abercrombie2024, Allianz2018, Cunha2023, Everitt2018, Gabriel2024, Ghosh2024, Gipiškis2024, Hendrycks2023, Kilian2023, Li2025, Maham2023, Meek2016, Paes2023, Perlo2025, Saghiri2022, Schnitzer2024, Steimers2022, Tan2022, Tang2025, Teixeira2022, Tse2025, Weidinger2021, Weidinger2022, Weidinger2023

ISO/IEC references

23894 obj A.10; src 5, 8; mech B.2 | 42001 ctrl A.5.4, A.6.2.4

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.10 ISO/IEC 23894 Annex A A.10

ISO 420012

A.5.4 ISO/IEC 42001 Annex A A.5.4
A.6.2.4 ISO/IEC 42001 Annex A A.6.2.4

More in Model & system behaviour

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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.