Unrepresented Litigant Misled by ChatGPT-Generated False Legal Citations in Manchester Court

May 28, 2023

A litigant in a Manchester civil case misused ChatGPT by presenting false legal citations, fabricating one case name and providing fictitious excerpts for three real cases. The judge found these submissions to be unintentional and did not penalize the party involved. This incident highlights the importance of responsible AI governance and trustworthy AI practices in legal settings.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 4.1 — similarity 0.607, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.597, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.596, rank 3. TAIM detail and related incidents →

Alleged deployer: unnamed-manchester-litigant
Alleged developer: openai
Alleged harmed parties: unnamed-manchester-litigant, manchester-court-system, general-public

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/709

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.