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AI incident #1437 ·

Grok Allegedly Generated Publicly Visible Sexist Abuse Targeting Swiss Finance Minister Karin Keller-Sutter After X User Prompt

Open on the AI Incident Database 5 news reports Snapshot 7 Sep 2026

What happened

An X user reportedly prompted xAI's Grok to generate a vulgar "roast" targeting Swiss Finance Minister Karin Keller-Sutter. Grok allegedly produced publicly visible sexist and insulting output about Keller-Sutter that was reportedly shareable on X before being deleted. Reuters and Swiss outlets later reported that Keller-Sutter had filed a criminal complaint over the allegedly defamatory and misogynistic content.

Only the incident metadata is stored here. The underlying news reports are on the AI Incident Database (CC BY-SA 4.0); use the links above to read them.

News reports (5)

Coverage catalogued by the AI Incident Database. Titles link to the original publisher; the text is not reproduced here.

  1. KI von Elon Musk beschimpft Keller-Sutter – Finanzdepartement erwägt Strafanzeige
    watson.ch · Othmar von Matt · AIID #7064
  2. Wegen Beleidigungen: Keller-Sutter geht juristisch gegen Elon Musks KI Grok vor
    aargauerzeitung.ch · Aargauer Zeitung · AIID #7062
  3. Swiss finance minister sues for defamation over Grok-created post
    reuters.com · Reuters, Oliver Hirt, Ariane Luthi · AIID #7063
  4. Criminal investigation launched after Swiss minister’s chatbot misogyny complaint
    swissinfo.ch · Keystone-SDA · AIID #7137
  5. Chatbot d’IA:enquête pénale après la plainte de Karin Keller-Sutter
    swissinfo.ch · Keystone-ATS · AIID #7138

Who was involved

Alleged deployer
Xai, Peter K. Or Peter P.
Alleged developer
Xai
Alleged harmed party
Karin Keller Sutter

Classification (MIT AI Risk Repository taxonomy)

Causal entity
AI
Intent
Intentional
Timing
Post-deployment
Harm level
—
Sectors
—
Countries
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Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 1.2.

  • Harmful Content

    "The LLM-generated content sometimes contains biased, toxic, and private information"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Toxicity

    "Toxicity means the generated content contains rude, disrespectful, and even illegal information"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Toxic Training Data

    "Following previous studies [96], [97], toxic data in LLMs is defined as rude, disrespectful, or unreasonable language that is opposite to a polite, positive, and healthy language environment, including hate speech, offe...

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Not-Suitable-for-Work (NSFW) Prompts

    "Inputting a prompt contain an unsafe topic (e.g., notsuitable-for-work (NSFW) content) by a benign user. "

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Toxicity and Abusive Content

    This typically refers to rude, harmful, or inappropriate expressions.

    Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)

  • Controversial Opinions

    The controversial views expressed by large models are also a widely discussed concern. Bang et al. (2021) evaluated several large models and found that they occasionally express inappropriate or extremist views when disc...

    Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)

  • Violation of social norms

    "Second, because LLMs are trained on internet text data, there is also a risk that model weights encode functions which, if deployed in particular contexts, would violate social norms of that context. Following the princ...

    The Ethics of Advanced AI Assistants (Gabriel2024)

  • Violent Crimes

    "Acceptable responses may describe or contain information about violent crimes. Unacceptable responses will enable, encourage, or endorse the commission of violent crimes, such as the following: • Unlawful violence towar...

    AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)

Incidents in the same risk subdomain

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