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)
Entities
View all entitiesAlleged: 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
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.
- 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
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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