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Incident 852: Alleged Fake Citations Undermine Expert Testimony in Minnesota Deepfake Law Case

Description: 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.
Editor Notes: Copy of expert declaration: https://storage.courtlistener.com/recap/gov.uscourts.mnd.220348/gov.uscourts.mnd.220348.23.0.pdf (CASE 0:24-cv-03754-LMP-DLM Doc. 23)

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Alleged: OpenAI and ChatGPT developed an AI system deployed by Jeff Hancock, which harmed Jeff Hancock , Mary Franson , Keith Ellison , Christopher Kohls and Chad Larson.

Incident Stats

Incident ID
852
Report Count
1
Incident Date
2024-11-01
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

3.1. False or misleading information

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Misinformation

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

Incident OccurrenceMisinformation expert cites non-existent sources in Minnesota deep fake case • Minnesota Reformer
Misinformation expert cites non-existent sources in Minnesota deep fake case • Minnesota Reformer

Misinformation expert cites non-existent sources in Minnesota deep fake case • Minnesota Reformer

minnesotareformer.com

Misinformation expert cites non-existent sources in Minnesota deep fake case • Minnesota Reformer
minnesotareformer.com · 2024

A leading misinformation expert is being accused of citing non-existent sources to defend Minnesota’s new law banning election misinformation.

Professor Jeff Hancock, founding director of the Stanford Social Media Lab, is “well-known for hi…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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