DARR
MR-004 Model & system behaviour System scope

Violent or extremist content generation

The system generates content that incites, glorifies, or facilitates violence, terrorism, or extremism.

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
31 entries across 16 papers
  • Abercrombie2024A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms58.03.03
  • Coghlan2023Harm to Nonhuman Animals from AI: a Systematic Account and Framework44.01.00
  • Critch2023TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI01.05.00
  • Deng2023Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements04.04.00
  • DSIT2023Capabilities and Risks from Frontier AI67.04.01
  • Gipiškis2024Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems62.08.01
  • IBM2025AI Risk Atlas65.15.05
  • InfoComm2023Cataloguing LLM Evaluations43.01.01
  • Li2025A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents66.06.01
  • Liu2024Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment30.02.01
  • Shelby2023Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction11.04.02
  • Stanley2024Emerging Risks and Mitigations for Public Chatbots: LILAC v169.10.00
  • TC2602024AI Safety Governance Framework45.02.07
  • Uuk2025A Taxonomy of Systemic Risks from General-Purpose AI61.02.44
  • Vidgen2024Introducing v0.5 of the AI Safety Benchmark from MLCommons23.01.00 23.01.01 23.01.02 23.01.03 23.01.04 23.01.05 23.02.00 23.02.01 23.02.02 23.02.04 23.07.02
  • Zeng2024AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies50.02.01 50.02.02 50.02.03 50.02.04 50.02.05 50.02.08

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
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
Cross-checksframeworks mapped in to test coverage
2
  • AISubtech-15.1.16 Safety Harms and Toxicity: Terrorism / Extremism
  • AISubtech-15.1.17 Safety Harms and Toxicity: Violence and Public Safety Threat
1
  • GENAI.3 Dangerous, Violent, or Hateful Content

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.