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Seven large language models failed to reliably distinguish humans from other AIs in a new study. Researchers from Paris Cité University conducted 238 tests involving 1,714 questions. AI evaluators identified AI participants as human 88% of the time, compared to 78% for actual humans. The study concludes current AI screening is insufficient for ensuring authenticity in dialogue.
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