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Guidance needed for using artificial intelligence to screen journal submissions for misconduct.

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Artificial intelligence (AI) aids manuscript integrity but risks false misconduct allegations. Human review, reliable tools, and transparent policies are crucial for ethical AI use in academic publishing.

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Area of Science:

  • Scholarly publishing
  • Publication ethics
  • Artificial intelligence in research

Background:

  • Journals increasingly use AI for manuscript screening, detecting plagiarism and data manipulation.
  • AI enhances integrity but poses risks of false allegations and ethical concerns regarding fairness and transparency.

Purpose of the Study:

  • To provide guidance on the responsible use of AI in detecting academic misconduct.
  • To address ethical considerations and ensure fairness in AI-assisted manuscript review.

Main Methods:

  • Analysis of current practices in AI-driven manuscript screening.
  • Development of recommendations based on ethical publication standards and technological capabilities.

Main Results:

  • AI tools require human verification for accuracy and accountability.
  • Journals must use reliable AI, stay updated on technology, and screen all submissions.
  • Transparency with authors regarding AI use and misconduct policies is essential.

Conclusions:

  • Human oversight is critical to validate AI-identified misconduct allegations.
  • Ethical AI implementation in publishing necessitates reliable tools, continuous vigilance, and transparent author communication.
  • Clear policies on misconduct definitions and AI usage are vital for maintaining publication integrity.