AI’s ‘insane’ translation mistakes endanger US asylum cases
Names translated as months of the year, incorrect time frames and mixed-up pronouns – the everyday failings of AI-driven translation apps are causing havoc in the U.S. asylum system, critics say. “We have countless examples of this nature,” said Ariel Koren, founder of Respond Crisis Translation, a global collective that has translated more than 13,000 asylum applications,...
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