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)
Tools
New ReportNew ResponseDiscoverView History
The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
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 AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
Seen something similar?
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Defamation via AutoComplete
· 28 reports
Wikipedia Vandalism Prevention Bot Loop
· 6 reports
Sexist and Racist Google Adsense Advertisements
· 27 reports
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Defamation via AutoComplete
· 28 reports
Wikipedia Vandalism Prevention Bot Loop
· 6 reports
Sexist and Racist Google Adsense Advertisements
· 27 reports