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the claim

ChatGPT can reliably detect whether a text was written by an AI.

the verdict
CONTESTED PARTIAL
Recorded sources
3 sources for · 3 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that ChatGPT can reliably detect whether a text was written by an AI?

Partly. Evidence is mixed and only partial: some studies report that trained classifiers or watermarking can detect ChatGPT-generated text with reasonable accuracy, while a comprehensive test of 14 detection tools found them neither accurate nor reliable, and another study found AI authorship could not be reliably distinguished by humans or automated tools.

Verdict: CONTESTED PARTIAL · 3 sources for, 3 against · Last checked

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Evidence for · 3
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ChatGPT. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/ChatGPT

Evidence against · 3
2023
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Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., Foltýnek, T., Guerrero-Dib, J., Popoola, O., Šigut, P., & Waddington, L. (2023). Testing of Detection Tools for AI-Generated Text. arxiv.org. https://doi.org/10.1007/s40979-023-00146-z

2 recorded entries grouped as this source

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Testing of detection tools for AI-generated text. (n.d.). cir.nii.ac.jp. https://doi.org/10.1007/s40979-023-00146-z

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More for · 2
2023
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Djamé, S., Antoun, W., & Virginie, M. (2023). Towards a Robust Detection of Language Model Generated Text: Is ChatGPT that Easy to Detect?. zenodo.org. https://doi.org/10.5281/zenodo.10024578

2025
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Parimanoharan, S. & Nawarathna, R. D. (2025). Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Text. arxiv.org. https://doi.org/10.48550/arXiv.2509.20375

More against · 2
2026
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Farrell, M. (2026). Can professional translators identify machine-generated text?. arxiv.org. https://doi.org/10.48550/arXiv.2601.15828

2024
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Heppell, F., Bakir, M. E., & Bontcheva, K. (2024). Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims. arxiv.org. https://doi.org/10.48550/arXiv.2402.08467

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