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Humans can detect AI text with 87.6% accuracy, study finds

By PulseAugur Editorial · [1 sources] ·

A new study challenges previous findings that humans struggle to distinguish AI-generated text from human writing. Researchers found that annotators could identify AI text with 87.6% accuracy across nine languages and nine domains. Key differences were noted in concreteness, cultural nuances, and diversity, though explicit prompting could bridge some gaps. Interestingly, humans did not consistently prefer human-written text when the source was unclear. AI

IMPACT Challenges assumptions about AI text detection, suggesting potential for improved content authenticity verification.

RANK_REASON Academic paper on human detection of AI-generated text.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Humans can detect AI text with 87.6% accuracy, study finds

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yuxia Wang, Rui Xing, Jonibek Mansurov, Giovanni Puccetti, Zhuohan Xie, Minh Ngoc Ta, Jiahui Geng, Jinyan Su, Mervat Abassy, Saad El Dine Ahmed, Kareem Elozeiri, Nurkhan Laiyk, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Alexander Aziz, Ryuto Koike ·

    Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI

    arXiv:2502.11614v3 Announce Type: replace Abstract: Prior studies have shown that distinguishing text generated by Large Language Models (LLMs) from human-written one is highly challenging for humans, and often no better than random guessing. To verify the generalizability of thi…

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