Purported Facial Recognition Error Reportedly Led to Arrest and Monthslong Jailing of Tennessee Woman in North Dakota Fraud Case
July 14, 2025
The incident underscores the potential risks posed by unreliable AI in criminal investigations. For more information on responsible AI governance, safety measures, and HISPI Project Cerebellum TAIM—including how you can contribute—join us through JOIN US.
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- GOVERN 6.2 — similarity 0.536, rank 1. TAIM detail and related incidents →
- MEASURE 2.10 — similarity 0.526, rank 2. TAIM detail and related incidents →
- MANAGE 2.3 — similarity 0.516, rank 3. TAIM detail and related incidents →
- Alleged deployer
- fargo-police-department
- Alleged developer
- unknown-facial-recognition-technology-developers
- Alleged harmed parties
- judicial-integrity, epistemic-integrity, angela-lipps
AI governance case studies
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Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1416
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.