AI threat catalogue Harmful Content Production
Controversial Topics
The AI system comments on politically, religiously, or ethically polarizing topics, or gives risky specialized advice, for example on health, finance, or voting procedures.
Description
Whether such a contribution causes harm depends heavily on the deployment context. It becomes problematic when the model takes sides in sensitive fields and thereby breaches a promised neutrality, when it gives risky specialized advice on health, financial, or legal matters, or when it spreads factually incorrect information about elections and voting. The trigger is a user question on such a topic; the output usually appears factual and convincing even when it is one-sided or inaccurate.
Possible impact
Operators risk alienating groups of users, breaching neutrality commitments, and drawing regulatory attention, for instance on election content or health claims. Flawed specialized advice can cause real harm to the people concerned when it is adopted without checking.
Example
A corporate chatbot answers a request for a political voting recommendation with a one-sided statement, or a health assistant issues an unsupported treatment recommendation.
Recommended mitigations (5)
Compare effects and implementation levels. Expand each entry for the additional classification and rationale.
-
Balanced perspective training
Technical- Effect
- Preventive
- Implementation level
- Data, Model & training
Classification and rationale
Primarily technical: A model, training, or data-processing method directly changes system behavior or robustness.
-
Topic classification and handling policies
Technical- Effect
- Preventive, Detective
- Implementation level
- Application, API & agents, Organization
Classification and rationale
Complementary control typeGovernance & compliance
Primarily technical: System-enforced inspection, transformation, or blocking rules stop or neutralize disallowed content before further processing; complemented by rules and oversight.
-
Disclaimer insertion
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.
-
Refusal for sensitive political queries
Technical- Effect
- Preventive
- Implementation level
- Application, API & agents
Classification and rationale
Primarily technical: System-enforced inspection, transformation, or blocking rules stop or neutralize disallowed content before further processing.
-
Editorial oversight for publications
Organizational & process-based- Effect
- Preventive
- Implementation level
- Organization, Use & operations
Classification and rationale
Complementary control typePeople & competence
Primarily organizational and process-based: A binding workflow requires an accountable human decision before use or execution; complemented by human expertise and judgment.
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 (6)
Every reference states the framework, the exact location and the publishing organisation.
- OWASP LLM Top 10 LLM07:2026 MisinformationLLM07:2026 Misinformation, OWASP Top 10 for LLM Applications 2026 v1.0, pp. 43-45 (doi:10.5281/zenodo.22109015); canonical text 2026/final/LLM07_Misinformation.md at commit 7e144e05 OWASP FoundationOriginal
- NIST AI RMF Section 2.6 Harmful Bias and HomogenizationSection 2.6, pp. 8–9 National Institute of Standards and Technology (NIST)Original
- NIST AI RMF MEASURE 2.11 MEASURE 2.11MEASURE 2.11, p. 30 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 Article 9(1), 9(2)(a), 9(2)(d) Risk management systemArticle 9(1), 9(2)(a), 9(2)(d), read with Article 9(3) 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.
-
Establish and operate a risk management system
Art. 9 · applies from Annex III: 2 December 2027 · Annex I: 2 August 2028
Statutory roles: Provider, Product manufacturer. Classes: High-risk under Annex III, High-risk as a product or safety component.
This reference is a review prompt. A threat match alone does not establish applicability.
-
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
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.
Typical for:
For 7 further use cases, relevance depends on the system design, for example whether it generates new content from open-ended requests or generates its own text. Show these use cases
Frequently asked questions
- What is Controversial Topics?
- The AI system comments on politically, religiously, or ethically polarizing topics, or gives risky specialized advice, for example on health, finance, or voting procedures.
- Which mitigations help against Controversial Topics?
- The catalogue lists 5 mitigations, each with control type, effect and implementation level. First among them are Balanced perspective training, Topic classification and handling policies and Disclaimer insertion.
- Which EU AI Act obligations does Controversial Topics touch?
- The catalogue maps this threat to Art. 9 and Art. 55 of the EU AI Act. In the obligations compass this leads to: Establish and operate a risk management system and Evaluate and mitigate systemic risks. Whether an obligation applies depends on role, risk class and deadline.
Assess this threat in your own system
The live demo contains all 52 threats of this catalogue, including the EU AI Act and GDPR assessment. The free single modules cover AI risk, the EU AI Act and GDPR. No sign-up; the assessment runs locally in your browser.
Cite this entry
For reports, policies or internal documents; the link leads directly to this entry.
“Controversial Topics”. Versatile AI Risk Assessment, AI threat catalogue, as of October 2026. https://www.versatile-ai-risk-assessment.com/en/wissensbasis/threats/controversial-topics/