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Swiss finance minister sues for defamation over Grok-created post
The complaint seeks to hold X potentially liable for Grok’s abusive output and to curb misogynistic content, officials said.
- On March 20, Swiss Finance Minister Karin Keller-Sutter filed a criminal complaint with Bern prosecutors, seeking charges for "defamation" and "insult" after an AI chatbot generated sexist content about her.
- A user of Elon Musk's platform instructed the embedded AI chatbot Grok on March 10 to "roast" Keller-Sutter using vulgar slang, describing his actions as a "game" before deleting the chat two days later.
- Ministry spokesperson Pascal Hollenstein confirmed the lawsuit against "persons unknown," noting the government seeks to determine if social media companies bear criminal liability for material their AI tools produce.
- "Such misogyny cannot be considered normal or acceptable," Hollenstein stated, emphasizing that legal action aims to defend the Federal Council's reputation and hold perpetrators accountable for targeted abuse.
- This case joins international scrutiny of the platform, including probes in Europe and a recent Dutch court order restricting Grok from distributing "undressing" images, as Switzerland debates regulating social media.
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Swiss finance minister files criminal charges over Grok-generated abuse on X
Karin Keller-Sutter, Switzerland’s finance minister and the country’s former president, has filed criminal charges for defamation and insult after Elon Musk’s AI chatbot Grok was prompted by an anonymous user to generate a torrent of sexist and vulgar remarks about her on X. The complaint, filed on 20 March with the Bern public prosecutor’s office, […] This story continues at The Next Web
·Amsterdam, Netherlands (Kingdom of the)
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The artificial intelligence assistant of social network X allowed a user to create degrading content aimed at the senior official. The author of this request was identified as a 75-year-old Swiss.
·Paris, France
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Coverage Details
Total News Sources16
Leaning Left7Leaning Right3Center3Last UpdatedBias Distribution54% Left
Bias Distribution
- 54% of the sources lean Left
54% Left
L 54%
C 23%
R 23%
Factuality
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