US CBP App's Failure to Detect Black Faces Reportedly Blocked Asylum Applications
January 18, 2023
CBP One's facial recognition feature was reportedly disproportionately failing to detect faces of Black asylum seekers from Haiti and African countries, effectively blocking their asylum applications.
- Alleged deployer
- us-customs-and-border-protection
- Alleged developer
- us-customs-and-border-protection
- Alleged harmed parties
- haitian-asylum-seekers, african-asylum-seekers, black-asylum-seekers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/484
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.