Alleged Fake Citations Undermine Expert Testimony in Minnesota Deepfake Law Case

November 1, 2024

In a recent legal case defending Minnesota's deepfake election misinformation law, Stanford misinformation expert Professor Jeff Hancock's affidavit allegedly cited non-existent academic sources. The reportedly fabricated citations appear to have undermined the credibility of his testimony, raising concerns about AI-generated disinformation and the importance of trustworthy AI governance.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.617, rank 1. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.600, rank 2. TAIM detail and related incidents →
MAP 2.2 — similarity 0.599, rank 3. TAIM detail and related incidents →

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.

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