Incident #532·AI Safety & Failures
AI translation is jeopardizing Afghan asylum claims
Explainability
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".
Actors
Alleged Deployers
- us-citizenship-and-immigration-services
Alleged Developers
- unknown
Harmed Parties
- anonymous-pashto-speaking-refugee
- pashto-speaking-asylum-seekers
- dari-speaking-asylum-seekers
Classification
Risk Domain
AI Safety & FailuresRisk Subdomain
7.3. Lack of capability or robustness
MIT Risk Profile
AIUnintentionalPost-deployment
Topics
Explainability
Source
Related Incidents (AI Safety & Failures)
View all →Research Papers on This Topic
View all →Concrete Problems in AI Safety
3,612 citationsJun 2016
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
2,338 citationsJul 2019
Representation Engineering: A Top-Down Approach to AI Transparency
1,499 citationsOct 2023
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
1,178 citationsJul 2021
Mitigation Tools
Tools related to this risk domain, via shared responsible AI topics.