LLMMedium
Alleged Fake Citations Undermine Expert Testimony in Minnesota Deepfake Law Case
- Occurred
- Nov 1, 2024
- Published
- Nov 20, 2024
- Source
- AI Incident Database
Summary
In a legal case defending Minnesota’s deepfake election misinformation law, Stanford misinformation expert Professor Jeff Hancock's affidavit allegedly cited non-existent academic sources, potentially generated by ChatGPT. The reportedly fabricated citations appear to have undermined the credibility of his testimony.
Developers
- OpenAI
- ChatGPT
Deployers
- Jeff Hancock
Harmed parties
- Mary Franson
- Keith Ellison
- Jeff Hancock
- Christopher Kohls
- Chad Larson
Classification
Category confidence: 90%
Severity confidence: 85%
Rationale: ChatGPT hallucinations undermined expert testimony in a legal case involving deepfake legislation.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8