Description: A litigant in person (LiP) in a Manchester civil case presented false legal citations generated by ChatGPT. It fabricated one case name and provided fictitious excerpts for three real cases, misleadingly supporting the LiP's argument. The judge, upon investigation, found the submissions to be inadvertent and did not penalize the LiP.
Entities
View all entitiesAlleged: OpenAI developed an AI system deployed by Unnamed Manchester litigant, which harmed Unnamed Manchester litigant , Manchester court system and General public.
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
AI
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 litigant in person tried to present fictitious submissions in court based on answers provided by the ChatGPT chatbot, the Gazette has learned.
The civil case, heard in Manchester, involved one represented party and one unrepresented: pro…
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.
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