Child sexual abuse material and child-safety harm
The system generates or facilitates child sexual abuse material (CSAM) or other sexual/abusive harm to minors.
- 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
16 entries across 10 papers
- Bengio2025International AI Safety Report 202560.01.01
- Gabriel2024The Ethics of Advanced AI Assistants24.03.09
- Ghosh2024AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons57.01.01 57.01.05
- Gipiškis2024Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems62.08.04
- Liu2024Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment30.02.03
- Marchal2024Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data64.01.05
- NIST2024Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile48.11.00
- Vidgen2024Introducing v0.5 of the AI Safety Benchmark from MLCommons23.02.03 23.04.00 23.04.01 23.04.02 23.04.03
- Weidinger2023Sociotechnical Safety Evaluation of Generative AI Systems18.01.03
- Zeng2024AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies50.02.15 50.02.16
Ev IDs of the entries consolidated into this risk in the MIT AI Risk Repository (V4); the source sheet row appears on hover.
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.
1- A.10 ISO/IEC 23894 Annex A A.10
2- A.5.4 ISO/IEC 42001 Annex A A.5.4
- A.6.2.4 ISO/IEC 42001 Annex A A.6.2.4
1- AISubtech-15.1.4 Safety Harms and Toxicity: Child Abuse / Exploitation
1- GENAI.11 Obscene, Degrading, and/or Abusive Content
More in Model & system behaviour
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.