Inaccurate auto translation denies Pashto-speaking refugee asylum

An asylum claim made by a Pashto-speaking Afghan refugee was denied by the US government due to an inaccurate automated translation tool. Rest of World reported that the individual, who had fled Afghanistan, had her asylum claim to the USA rejected because her written application did not match the story told in her initial interviews. In the interviews, the refugee had said that she had made it through one particular event alone, but her written statement appeared to reference other people due to an automated translation tool that swapped the 'I' pronoun in the woman’s statement to 'we.' The incident highlights the growing use of machine learning-based translation tools in immigration procedures in the USA and elsewhere, the importance of technicalities in asylum processing, and the need for system accuracy combined with human review for all languages. According to UNICEF, Pashto is spoken by an estimated 45-55 million people in Afghanistan, Pakistan and Iran. System 🤖 Unknown Operator: Developer: Country: Afghanistan; USA Sector: Govt - immigration Purpose: Translate asylum claims Technology: NLP/text analysis; Neural network; Deep learning; Machine learning; Reinforcement learning Issue: Accuracy/reliability

Date it happened

2020-01-01

This is a record of what was reported, not a finding that anyone broke the law. If it names your organisation and you believe it is wrong, the corrections process is free and open to everyone.