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Artificial intelligence (AI) tools can enhance academic publishing efficiency but lack human expertise for nuanced peer review. Guidelines are needed to balance AI benefits with preserving scientific integrity.

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Area of Science:

  • Scholarly Communication
  • Artificial Intelligence in Research
  • Academic Publishing Ethics

Background:

  • Artificial intelligence (AI) is increasingly used in academic publishing for tasks like grammar checks and plagiarism detection.
  • AI tools, including large language models, offer potential for streamlining editorial and peer review processes.
  • The integration of AI in science presents both opportunities for efficiency and challenges to traditional methods.

Purpose of the Study:

  • To review the scientific community's perspectives on using AI in peer review and academic publishing.
  • To explore the benefits and limitations of AI integration in scholarly communication.
  • To develop recommendations for the responsible use of AI in academic editorial processes.

Main Methods:

  • Literature review of AI applications in academic publishing.
  • Analysis of ethical and methodological considerations of AI in peer review.
  • Synthesis of community perspectives on AI integration.

Main Results:

  • AI tools can significantly improve efficiency and accuracy in academic publishing tasks.
  • AI lacks the nuanced understanding of human experts for evaluating research novelty and significance.
  • Concerns exist regarding AI bias, transparency, accountability, and data privacy in peer review.

Conclusions:

  • AI should serve as a supportive tool for human experts, not a replacement, in academic publishing.
  • Practical guidelines are essential to maintain the integrity and quality of scholarly work.
  • Balancing AI efficiencies with human oversight is crucial for the future of academic peer review.