BlenderBot 3 Cited Dutch Politician as a Terrorist

Meta's BlenderBot 3 chatbot falsely identified a Dutch politician, Marietje Schaake, as a terrorist when prompted by a user. The company attributed the error to the model combining unrelated information. This incident highlights the risks of AI systems hallucinating false biographical details about real people.

Meta’s conversational AI BlenderBot 3, when prompted “who is a terrorist,“ responded with an incumbent Dutch politician’s name, who was confused about its association.

Source: AI Incident Database

Risk classification

  • Primary risk domain: 3 Misinformation
  • Primary risk subdomain: 3.1 False or misleading information

The AI system generated false and defamatory biographical information about a real individual, leading to potential reputational harm.

Additional risk subdomains

  • 7.3 Lack of capability or robustness: The model failed to maintain factual accuracy and robustly distinguish unrelated information, leading to a severe hallucination.

Causal factors

  • Entity: AI
  • Intent: Unintentional
  • Timing: Post-deployment

The false accusation was generated by Meta's BlenderBot 3 AI system due to an unintentional hallucination or data-mixing error after its public deployment.

EU AI Act risk tier

  • Risk tier: 3 Limited Risk

Limited Risk: The system is a conversational chatbot ('BlenderBot 3') generating text, which falls under the transparency obligations of Risk Level 3.

AI system and alleged parties

  • AI system: BlenderBot 3 3 (Meta)
  • AI purpose: Chatbot; Question Answering
  • Behaviour type: Assistant
  • Alleged developer: Meta
  • Alleged deployer: Meta
  • Alleged harmed parties: Marietje Schaake

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

  • Physical: direct Negligible, indirect Negligible
  • Infrastructure: direct Negligible, indirect Negligible
  • Property: direct Negligible, indirect Negligible
  • Financial: direct Negligible, indirect Negligible
  • Environmental: direct Negligible, indirect Negligible
  • Malicious content: direct Minor, indirect Negligible
  • Differential treatment: direct Negligible, indirect Negligible
  • Civil rights: direct Negligible, indirect Negligible
  • Democracy: direct Negligible, indirect Negligible
  • Privacy: direct Negligible, indirect Negligible
  • Psychological: direct Negligible, indirect Negligible
  • Epistemic: direct Minor, indirect Minor
  • Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Malicious content

Reported: Yes, the chatbot generated a highly toxic and false statement accusing a real person of being a terrorist.

Directly caused: Meta's BlenderBot 3 generated a false statement accusing Marietje Schaake of being a terrorist, which was viewed by her colleague.

Epistemic

Reported: Yes, the report explicitly describes epistemic harm in the form of AI-driven misinformation and fabrication of biographical details.

Directly caused: The AI system fabricated a false biographical claim, stating that according to some governments and international organizations, Marietje Schaake is a terrorist.

Indirectly caused: The spread of this false information on social media highlighted the unreliability of AI chatbots to the public.

People affected

  • Occurrences reported: 1
  • People reportedly harmed: 1
  • People reportedly exposed: 2

Potential causes

Management

  • Misaligned Product Positioning: Promoting systems as information sources when not designed for it.

Technology

  • Statistical Pattern Prediction: Model joins words based on statistical correlation rather than factual truth.
  • Information Combination Error: Model combined two unrelated pieces of info into an incorrect sentence.
  • Ability to Freely Generalize: Free generalization untethers outputs from real-world facts.

Data Inputs

  • Lack of Online Information: Dearth of online info about specific people causes hallucinations.

Human Factors

  • User Misconception of System: Users treat conversational agents as reliable primary information sources.

Process and Methods

  • Lack of Output Fact-Checking: System lacks built-in real-time fact-checking before delivering outputs.

Regulatory Environment

  • Slim Legal Precedent: Very few existing laws govern AI accuracy and accountability.

Information quality

  • Classification confidence: High
  • Reason for confidence: The reports provide clear, first-hand accounts of the specific prompt and response that occurred, along with Meta's explanation of the technical cause (combining two unrelated pieces of information).

Meta's BlenderBot 3 chatbot falsely labeled Dutch politician Marietje Schaake as a terrorist due to a model hallucination. While the incident caused individual reputational concern, it represents a minor national security threat, illustrating the broader, ongoing challenge of AI-generated misinformation and factual unreliability in public-facing conversational systems.

  • Overall national security impact: Minor
  • Scope: Multiple nations
  • Primary target: No clear primary
  • Other affected: Netherlands, United States
  • Alleged perpetrator: Unknown

Threat characteristics

  • Imminence: Long-term. The incident represents an ongoing strategic concern regarding AI factual reliability rather than an active crisis requiring immediate response.
  • Autonomy: Full autonomy. The AI system generated and presented the false output directly to the user without prior human review, moderation, or filtering.
  • Novelty: Established threat. AI model hallucinations and the generation of false biographical details are well-documented and established issues within large language models.

Impact by dimension

  • Physical security: Negligible. The incident involved a conversational chatbot generating text and posed no threat to physical systems, infrastructure, or human safety.
  • Information security: Minor. The AI generated false and defamatory information labeling a politician as a terrorist. While not a coordinated information warfare campaign, it highlights risks of AI-driven misinformation.
  • Sovereignty: Negligible. No core government operations, electoral systems, or decision-making processes were compromised or targeted by this incident.
  • Economic security: Negligible. There was no threat to financial systems, strategic technology theft, or disruption of critical supply chains.
  • Societal stability: Minor. The incident caused individual reputational and psychological harm by falsely accusing a person of terrorism, but did not cause large-scale societal instability.
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