Detroit Police Wrongfully Arrested Black Man Due To Faulty Facial Recognition

July 31, 2019

A disturbing incident occurred in Detroit where a Black man was wrongfully detained by the police department due to a faulty facial recognition (FRT) result. This incident underscores the critical need for trustworthy, safe, and secure AI practices in law enforcement, particularly when it comes to FRT. The HISPI Project Cerebellum TAIM (Govern) invites all who are passionate about AI governance and harm prevention to join us and help establish guardrails for AI that protect individuals from such unfortunate incidents.

For those interested in shaping the future of AI, join the HISPI Project Cerebellum community today: JOIN US

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.687, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.669, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.668, rank 3. TAIM detail and related incidents →

Alleged deployer: detroit-police-department
Alleged developer: dataworks-plus
Alleged harmed parties: michael-oliver, black-people-in-detroit

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/439

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.