AI threat catalogue Harmful Content Production
Self-harm
The AI system encourages self-harm or suicide, gives instructions for it, or provides the means. The potential for harm is exceptionally high.
Description
Such output is especially dangerous for people in mental distress and in companion or chatbot applications that involve emotional attachment. Safety frameworks deliberately distinguish between mere depiction, a user expressing their own intent, and concrete instructions, because the correct protective response, such as pointing to crisis helplines rather than simply refusing, depends on it. Triggers can be direct questions, a jailbreak (the circumvention of the safety controls), or an unsuitable course of conversation.
Possible impact
In the gravest case, such output can contribute to a person's death. Operators therefore face the highest liability risks and strict regulatory requirements; the AI Act demands particular protection for minors and other vulnerable people.
Example
A user in crisis confides in a companion chatbot, and instead of pointing to professional help, the chatbot reinforces self-harming behavior.
Recommended mitigations (5)
Compare effects and implementation levels. Expand each entry for the additional classification and rationale.
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Specialised self-harm safety classifiers
Technical- Effect
- Detective
- Implementation level
- Model & training, Application, API & agents
Classification and rationale
Primarily technical: Software or analytical tools systematically produce and evaluate measurements, deviations, or attack indicators.
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Crisis resource referral (helplines)
Technical- Effect
- Preventive
- Implementation level
- Application, API & agents, Use & operations
Classification and rationale
Complementary control typePeople & competence
Primarily technical: The application makes uncertainty, system boundaries, or safe next steps visible and supports informed decisions; complemented by human expertise and judgment.
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Safe completion with referral to support services instead of a bare refusal
Technical- Effect
- Preventive
- Implementation level
- Model & training, Application, API & agents
Classification and rationale
Primarily technical: System-enforced inspection, transformation, or blocking rules stop or neutralize disallowed content before further processing.
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Partnership with mental health experts
Organizational & process-based- Effect
- Preventive
- Implementation level
- Organization, Use & operations
Classification and rationale
Complementary control typePeople & competence
Primarily organizational and process-based: A governed consultation process integrates relevant expertise into design and operations; complemented by human expertise and judgment.
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Continuous red-teaming
Organizational & process-based- Effect
- Detective
- Implementation level
- Model & training, Application, API & agents, Use & operations
Classification and rationale
Complementary control typePeople & competence, Technical
Primarily organizational and process-based: A planned, repeatable assessment with ownership and documented follow-up creates the protective effect; complemented by human expertise and judgment as well as technical implementation.
Framework mappings
Verified locations in OWASP, NIST AI RMF, MITRE ATLAS, the EU AI Act and further frameworks. The mappings are taxonomic, not evidence of compliance.
Verified references (4)
Every reference states the framework, the exact location and the publishing organisation.
- OWASP LLM Top 10 LLM01:2026 Prompt InjectionLLM01:2026 Prompt Injection, OWASP Top 10 for LLM Applications 2026 v1.0, pp. 10-17 (doi:10.5281/zenodo.22109015); canonical text 2026/final/LLM01_PromptInjection.md at commit 7e144e05 OWASP FoundationOriginal
- NIST AI RMF Section 2.3 Dangerous, Violent, or Hateful ContentSection 2.3, pp. 6–7 National Institute of Standards and Technology (NIST)Original
- MITRE ATLAS AML.T0048.002 Societal HarmATLAS-2026.09.yaml technique object with id AML.T0048.002 (content release 2026.09, format-version 6.0.0) MITREOriginal
- EU AI Act Article 55(1)(b) Obligations of providers of general-purpose AI models with systemic riskArticle 55(1)(b) European Union (EUR-Lex)Original
EU AI Act obligations related to this threat
The obligations from the obligations compass whose articles the catalogue maps to this threat. Each leads to its entry with core, action step and evidence; whether it applies to you depends on role and risk class.
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Evaluate and mitigate systemic risks
Art. 55 · applies from 2 August 2025
Statutory roles: Provider of a general-purpose AI model. Classes: Model with systemic risk.
This reference is a review prompt. A threat match alone does not establish applicability.
All 62 obligations by role, risk class and deadline in the obligations compass
Terms on this page
Glossary terms that occur in this entry. Every link leads to the full explanation.
- Jailbreak Input that makes a model bypass its own safeguards.
Related threats
More entries from the topic group Harmful Content.
Matching use cases
This list shows where to review this threat, rather than how high the risk is.
For 6 further use cases, relevance depends on the system design, for example whether it generates new content from open-ended requests or is also available to people outside your organisation. Show these use cases
Frequently asked questions
- What is Self-harm?
- The AI system encourages self-harm or suicide, gives instructions for it, or provides the means. The potential for harm is exceptionally high.
- Which mitigations help against Self-harm?
- The catalogue lists 5 mitigations, each with control type, effect and implementation level. First among them are Specialised self-harm safety classifiers, Crisis resource referral (helplines) and Safe completion with referral to support services instead of a bare refusal.
- Which EU AI Act obligations does Self-harm touch?
- The catalogue maps this threat to Art. 55 of the EU AI Act. In the obligations compass this leads to: Evaluate and mitigate systemic risks. Whether an obligation applies depends on role, risk class and deadline.
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Cite this entry
For reports, policies or internal documents; the link leads directly to this entry.
“Self-harm”. Versatile AI Risk Assessment, AI threat catalogue, as of October 2026. https://www.versatile-ai-risk-assessment.com/en/wissensbasis/threats/self-harm/