New study finds AI struggles to correct false claims clearly across languages

The study involved 300 participants who rated false statements before and after reading AI responses. Explicit corrections reduced misbelief in English and German speakers, but only 46.7% of English speakers and 43.8% of German speakers identified the falsehood afterward. In Chinese, indirect pushback combined with affirmation was the only approach that significantly improved accuracy. The researchers also tested a ‘wait a minute’ prompt intervention, which increased pushback but also raised incorrect objections to true statements. The study highlights the ‘pushback gap’: models are far more likely to challenge false claims when explicitly asked to verify them than when providing general information. Authoritative sources (e.g., textbooks) faced less resistance than personal claims (e.g., friends).