Preparing the requested public record.
Preparing the requested public record.
S.D. New York · Jul 18, 2024
Fabricated: Case Law | Plaintiff cited and relied on non-existent case law; Defendants flagged this and the Court was unable to locate the cited cases, warning that such conduct could lead to sanctions. Outcome: No sanction; Formal Warning Issued.
Fabricated: Case Law | Plaintiff cited and relied on non-existent case law; Defendants flagged this and the Court was unable to locate the cited cases, warning that such conduct could lead to sanctions. Outcome: No sanction; Formal Warning Issued.
The plaintiff, proceeding pro se, submitted filings citing multiple nonexistent cases. The court noted patterns typical of ChatGPT hallucinations, referencing studies and prior cases involving AI errors, though the plaintiff did not admit using AI.
Several fake citations identified, including invented federal cases and misquoted Supreme Court opinions. Defendants flagged these to the court, and the court independently confirmed they were fictitious.
No sanctions imposed at this stage, citing special solicitude for pro se litigants. However, the court issued a formal warning: further false citations would lead to sanctions without additional leniency.
The court emphasized that even pro se parties must comply with procedural and substantive law, including truthfulness in court filings. Cited Mata v. Avianca and Park v. Kim as established examples where AI-generated hallucinations resulted in sanctions for attorneys, underscoring the seriousness of the misconduct.
This matter connects pro se and fake citations involving Unidentified with No sanction; Formal Warning Issued in S.D. New York, making it a concrete reference point for verification, supervision, and response controls.
The current record does not establish a specific AI tool. Do not infer AI use beyond the source.
No sanction; Formal Warning Issued
Correction behavior is not separately verified in the current record.
1 citation, quotation, or authority issues are recorded in the source dataset.
Related by court, jurisdiction, tool, or classified failure pattern. Similarity does not imply the same facts or outcome.