Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse

Incident 484: US CBP App's Failure to Detect Black Faces Reportedly Blocked Asylum Applications

Description: 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.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: US Customs and Border Protection developed and deployed an AI system, which harmed Haitian asylum seekers , African asylum seekers and Black asylum seekers.

Incident Stats

Incident ID
484
Report Count
4
Incident Date
2023-01-18
Editors
Khoa Lam
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

1.3. Unequal performance across groups

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Discrimination and Toxicity

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

Incident Occurrence+1
Facial recognition bias frustrates Black asylum applicants to US, advocates say
Senator Markey Calls on DHS to Ditch Mobile App Riddled with Glitches, Privacy Problems, for Asylum SeekersU.S. border app has host of issues, including recognizing Black skin tones, migrants say
Facial recognition bias frustrates Black asylum applicants to US, advocates say

Facial recognition bias frustrates Black asylum applicants to US, advocates say

theguardian.com

Facing Bias: CBP’s Immigration App Doesn’t Recognize Black Faces, Barring Thousands from Seeking Asylum

Facing Bias: CBP’s Immigration App Doesn’t Recognize Black Faces, Barring Thousands from Seeking Asylum

theborderchronicle.com

Senator Markey Calls on DHS to Ditch Mobile App Riddled with Glitches, Privacy Problems, for Asylum Seekers

Senator Markey Calls on DHS to Ditch Mobile App Riddled with Glitches, Privacy Problems, for Asylum Seekers

markey.senate.gov

U.S. border app has host of issues, including recognizing Black skin tones, migrants say

U.S. border app has host of issues, including recognizing Black skin tones, migrants say

theglobeandmail.com

Facial recognition bias frustrates Black asylum applicants to US, advocates say
theguardian.com · 2023

The US government’s new mobile app for migrants to apply for asylum at the US-Mexico border is blocking many Black people from being able to file their claims because of facial recognition bias in the tech, immigration advocates say.

Non-pr…

Facing Bias: CBP’s Immigration App Doesn’t Recognize Black Faces, Barring Thousands from Seeking Asylum
theborderchronicle.com · 2023

The U.S. government’s immigration app, CBP One, does not recognize dark-skinned people, barring many from seeking asylum, according to nonprofits working at the Mexican border.

Already marginalized, Haitian and African asylum seekers are no…

Senator Markey Calls on DHS to Ditch Mobile App Riddled with Glitches, Privacy Problems, for Asylum Seekers
markey.senate.gov · 2023

Washington (February 21, 2023) – Senator Edward J. Markey (D-Mass.) today sent a letter to the Department of Homeland Security (DHS) urging it to cease using its problematic CBP One app. DHS has required migrants seeking asylum at the south…

U.S. border app has host of issues, including recognizing Black skin tones, migrants say
theglobeandmail.com · 2023

When the U.S. government rolled out the CBP One app in January, it was touted as a way to stem the flow of migrants at the country’s southern border while still giving them the opportunity to make refugee claims.

Instead of showing up at a …

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
Previous IncidentNext Incident

Research

  • Defining an “AI Incident”
  • Defining an “AI Incident Response”
  • Database Roadmap
  • Related Work
  • Download Complete Database

Project and Community

  • About
  • Contact and Follow
  • Apps and Summaries
  • Editor’s Guide

Incidents

  • All Incidents in List Form
  • Flagged Incidents
  • Submission Queue
  • Classifications View
  • Taxonomies

2023 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • 30ebe76