Description: In Fivehouse v. U.S. Department of Defense, Assistant U.S. Attorney Rudy Renfer filed a response brief that the court reportedly said contained fabricated quotations and misstatements of case holdings. Renfer reportedly admitted he had used AI to help draft the inaccurate filing after losing an earlier draft. The court reportedly also identified similar fabricated quotations in other filings signed by Renfer.
Entities
View all entitiesAlleged: Large language model developers developed an AI system deployed by United States Attorney's Office for the Eastern District of North Carolina and Rudy Renfer, which harmed Judicial integrity , Epistemic integrity and Derence V. Fivehouse.
Alleged implicated AI system: Large language models
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
Other
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Other
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
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An assistant US attorney in North Carolina filed a response with the court that included “fabricated quotations and misstatements of case holdings” and then made “false or misleading statements” of how they got included, a magistrate judge …
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Senior leaders from the U.S. attorney's office for the Eastern District of North Carolina must appear at a show-cause hearing this week, after an assistant U.S. attorney filed a response with the court including "fabricated quotations and m…
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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