Wrongful Detainment Due to Faulty Facial Recognition: A Case for Safe and Responsible AI
July 31, 2019
The Detroit Police Department mistakenly detained a Black man due to a false facial recognition result. This incident underscores the need for trustworthy AI and harm prevention in AI governance. Ready to help shape responsible AI? JOIN US. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- 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.