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GPTZero Performance in Identifying Artificial Intelligence-Generated Medical Texts: A Preliminary Study.

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Summary
This summary is machine-generated.

GPTZero shows promise in detecting AI-generated scientific text, but has a high rate of misclassifying machine text as human-written. Further development is needed for reliable artificial intelligence detection.

Keywords:
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Area of Science:

  • Medical Writing
  • Artificial Intelligence in Science

Background:

  • The rise of AI chatbots necessitates tools for editors to identify machine-generated scientific content.
  • GPTZero is an early tool claiming to distinguish between human and AI-authored texts.

Purpose of the Study:

  • To evaluate the performance of GPTZero in identifying AI-generated medical texts.

Main Methods:

  • Assessed GPTZero's performance using 20 ChatGPT-generated medical texts and 30 human-written medical articles.
  • Analyzed sensitivity, specificity, accuracy, and likelihood ratios.

Main Results:

  • GPTZero achieved 80% accuracy with 90% specificity but only 65% sensitivity.
  • Demonstrated a low false-positive rate but a high false-negative rate.

Conclusions:

  • GPTZero exhibits a tendency to incorrectly classify AI-generated text as human-written.
  • The tool requires improvement to reliably detect machine-generated scientific content.