UK Home Office's Sham Marriage Detection Algorithm Reportedly Flagged Certain Nationalities Disproportionately

March 1, 2015

The opaque algorithm employed by the UK Home Office to detect potential sham marriages has reportedly flagged certain nationalities more frequently than others, sparking concerns over potential nationality and age-based discrimination. The need for responsible AI governance and transparent practices in AI implementation is emphasized as key components of harm prevention and safe and secure AI use. For those interested in shaping the future of AI governance and mitigating such issues, consider joining Project Cerebellum to contribute to the HISPI Project Cerebellum TAIM by managing and mapping these incidents.

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Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.699, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.693, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.690, rank 3. TAIM detail and related incidents →

Alleged deployer: uk-home-office
Alleged developer: uk-home-office
Alleged harmed parties: uk-immigrant-newlyweds

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/336

Data source

Incident data is from the AI Incident Database (AIID).

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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.

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