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Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and publishers' responsibilities concerning fairness and transparency also raise ethical concerns.

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Article Synopsis
  • This study reviews the current literature on ChatGPT's role in clinical medicine, urology, and academic settings, while highlighting ethical challenges and potential risks associated with its use.
  • After an extensive search through medical databases from January 2022 to January 2024, the findings reveal that ChatGPT can assist in tasks like clinical correspondence and patient inquiries but raises concerns about data accuracy and the need for human oversight.
  • The study concludes that while ChatGPT can enhance productivity, particularly in urology and academic medicine, it should complement human efforts to ensure patient safety and uphold academic integrity.
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To find research misconduct in research that has been supported by federal funds, an institution must determine that the misconduct was committed intentionally, knowingly, or recklessly. "Intentional" and "knowing" are straightforward standards. Yet "reckless" often mystifies institutions, which struggle to assess whether a respondent's conduct should be deemed "reckless," or merely negligent.

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