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BiasHigh

US CBP App's Failure to Detect Black Faces Reportedly Blocked Asylum Applications

Occurred
Jan 18, 2023
Published
Mar 11, 2023
Source
AI Incident Database

Summary

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.

Developers

  • US Customs and Border Protection

Deployers

  • US Customs and Border Protection

Harmed parties

  • Haitian asylum seekers
  • African asylum seekers
  • Black asylum seekers

Classification

Category confidence: 95%
Severity confidence: 90%

Rationale: Facial recognition failure disproportionately affected Black asylum seekers, causing significant harm to their legal rights.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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