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Incident 532: AI translation is jeopardizing Afghan asylum claims

Description: A Pashto-speaking refugee's asylum claim was denied by a US agency for a discrepancy between oral and written recount of an event allegedly due to an error of their automated translation tool which swapped pronouns of her written statement from "I" to "we".

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Alleged: unknown developed an AI system deployed by US Citizenship and Immigration Services, which harmed anonymous Pashto-speaking refugee , Pashto-speaking asylum seekers and Dari-speaking asylum seekers.

Incident Stats

Incident ID
532
Report Count
1
Incident Date
2020-06-20
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
 

7.3. Lack of capability or robustness

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. AI system safety, failures, and limitations

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 OccurrenceAI translation is jeopardizing Afghan asylum claims
AI translation is jeopardizing Afghan asylum claims

AI translation is jeopardizing Afghan asylum claims

restofworld.org

AI translation is jeopardizing Afghan asylum claims
restofworld.org · 2023

In 2020, Uma Mirkhail got a firsthand demonstration of how damaging a bad translation can be.

A crisis translator specializing in Afghan languages, Mirkhail was working with a Pashto-speaking refugee who had fled Afghanistan. A U.S. court h…

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.

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