Louisiana Police Wrongfully Arrested Black Man Using False Face Match

November 25, 2022

A Black man in Louisiana was reportedly wrongfully arrested based on a false facial recognition match for thefts he did not commit, highlighting the urgent need for safe and secure AI practices. This incident underscores the importance of responsible AI governance and the role of Project Cerebellum's AI Incident Database in harm prevention. For those interested in shaping trustworthy AI practices and contributing to our mission, JOIN US.

This incident serves as a prime example of how incidents like this can be mapped and managed within the HISPI Project Cerebellum TAIM framework, specifically using its Govern function to ensure appropriate guidelines are in place for AI systems.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.647, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.638, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.635, rank 3. TAIM detail and related incidents →

Alleged deployer: baton-rouge-police-department
Alleged developer: morphotrak, clearview-ai
Alleged harmed parties: black-people-in-louisiana, randall-reid

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/440

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.