インシデント 87の引用情報
インシデントのステータス
CSETv0 分類法のクラス
分類法の詳細Full Description
Women with darker skin are more than twice as likely to be told their photos fail UK passport rules when they submit them online when compared to lighter-skinned men, according to a BBC investigation. Elaine Owusu, a Black student, said she was wrongly told her mouth looked open each time she uploaded five different photos to the government website. This shows how "systemic racism" can spread. The facial recognition software was used by the Home Office of the British goverment to help users get their passports more quickly. Additionally, Cat Hallam, who describes her complexion as dark-skinned, told the BBC reporters that her photos have been judged to be poor quality which included "there are reflections on your face" and "your image and the background are difficult to tell apart."
Short Description
UK passport photo checker shows bias against dark-skinned women.
Severity
Negligible
Harm Distribution Basis
Race, Sex
Harm Type
Psychological harm, Harm to civil liberties
AI System Description
The facial recognition algorithm used by the Home Office of the UK Government to identify and check for applicant's passport photos
System Developer
The Home Office of the UK Government
Sector of Deployment
Administrative and support service activities
Relevant AI functions
Perception, Cognition
AI Techniques
Facial recognition
AI Applications
Facial recognition
Location
United Kingdom
Named Entities
Elaine Owusu, The Home Office, Cat Hallam, Alan Turing Institute
Technology Purveyor
The Home Office of the UK Government
Beginning Date
10/2020
Ending Date
10/2020
Near Miss
Unclear/unknown
Intent
Accident
Lives Lost
No
Data Inputs
Passport IDs
インシデントレポート
レポートタイムライン
- 情報源として元のレポートを表示
- インターネットアーカイブでレポートを表示
Women with darker skin are more than twice as likely to be told their photos fail UK passport rules when they submit them online than lighter-skinned men, according to a BBC investigation.
One black student said she was wrongly told her mou…
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