MR-075 Regulatory compliance Both scope

Failure to inform individuals subject to high-risk AI decisions

A deployer using a high-risk system that makes or assists decisions about people does not inform those individuals that they are subject to it.

Risk family: Regulatory compliance
MIT domain: n/a (EU-derived)
MIT subdomain: n/a
AI type: GPAI, Agentic, Classical_ML
Scope: Both
Source standard: EU AI Act 2024/1689 (gap analysis)

Provenance

Source standard

EU AI Act 2024/1689 (gap analysis)

Source frameworks

EU AI Act 2024/1689

EU AI Act articles

Art. 26(11)

Nearest MIT-derived risk

MR-055 Lack of explainability (interpretability of the decision, not the duty to notify the affected person).

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

EU AI Act1

Art. 26(11)

More in Regulatory compliance

MR-040 MR-072 MR-073 MR-074 MR-076 MR-077 MR-078 MR-079 MR-080 MR-081 MR-082

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.