MR-008 Model & system behaviour System scope

Sexual content and non-consensual intimate imagery

The system generates sexual or adult content, or non-consensual intimate imagery, in inappropriate contexts.

Risk family: Model & system behaviour
MIT domain: 1. Discrimination & Toxicity
MIT subdomain: 1.2 > Exposure to toxic content
AI type: GPAI
Scope: System
Source standard: MIT AI Risk Repository v4

Provenance

Source standard

MIT AI Risk Repository v4

MIT source entries

27 entries across 8 papers

Cui2024Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems02.11.00 02.11.01 02.11.02 02.11.03 02.11.04 02.11.05 02.11.06
Ghosh2024AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons57.01.02 57.03.00 57.03.02
Gipiškis2024Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems62.08.03
IBM2025AI Risk Atlas65.14.03 65.15.04
InfoComm2023Cataloguing LLM Evaluations43.02.15
Liu2024Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment30.02.04
Vidgen2024Introducing v0.5 of the AI Safety Benchmark from MLCommons23.03.00 23.03.01 23.03.02 23.03.03 23.03.04 23.03.05 23.03.06 23.13.00
Zeng2024AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies50.02.11 50.02.12 50.02.13 50.02.14

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.10; src 7; mech B.5 | 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

A.10 ISO/IEC 23894 Annex A A.10

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

Cross-checksframeworks mapped in to test coverage

AISubtech-15.1.14 Safety Harms and Toxicity: Sexual Content and Exploitation

GENAI.11 Obscene, Degrading, and/or Abusive Content

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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.