Alleged Fake Citations Undermine Expert Testimony in Minnesota Deepfake Law Case
November 1, 2024
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.
- Alleged deployer
- jeff-hancock
- Alleged developer
- openai, chatgpt
- Alleged harmed parties
- mary-franson, keith-ellison, jeff-hancock, christopher-kohls, chad-larson
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/852
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.