HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Police Use of Facial Recognition Software Causes Wrongful Arrests Without Defendant Knowledge

October 6, 2024

Facial recognition software is increasingly being used by police departments across the U.S. for criminal investigations. However, its unreliability, particularly in identifying people of color, has led to numerous false arrests and wrongful detentions that were not disclosed to defendants. This raises concerns about trustworthy AI, safe and secure AI practices, and the need for robust governance mechanisms. For those interested in shaping Project Cerebellum's Harm Prevention efforts through the HISPI Project Cerebellum TAIM (Govern), learn more at JOIN US.

This incident underscores the importance of establishing guardrails for AI to prevent such harm.

Matched TAIM controls

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

Alleged deployer
police-departments, evansville-pd, pflugerville-pd, jefferson-parish-sheriff's-office, miami-pd, west-new-york-pd, nypd, coral-springs-pd, arvada-pd
Alleged developer
clearview-ai
Alleged harmed parties
quran-reid, francisco-arteaga, defendants-wrongfully-accused-by-facial-recognition

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/815

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.