Rite Aid Facial Recognition Disproportionately Misidentified Minority Shoppers as Shoplifters
December 20, 2023
Join us at Project Cerebellum, where we're working towards shaping the future of responsible AI by establishing governance frameworks and mapping incidents such as this one onto our Harm Incident Prevention System (HISPI) TAIM to measure and manage these risks effectively. JOIN US
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- GOVERN 6.1 — similarity 0.652, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.650, rank 2. TAIM detail and related incidents →
- MAP 1.6 — similarity 0.647, rank 3. TAIM detail and related incidents →
- Alleged deployer
- rite-aid
- Alleged developer
- unnamed
- Alleged harmed parties
- rite-aid-customers-who-were-women, rite-aid-customers-who-were-minorities, rite-aid-customers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/619
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.