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Artificial intelligence-assisted academic writing: recommendations for ethical use.

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Generative AI tools offer efficiency for researchers but pose risks like plagiarism and inaccuracies. This paper guides ethical, integrity-focused use of AI in academic writing.

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Area of Science:

  • Academic Publishing
  • Artificial Intelligence in Research
  • Healthcare Simulation

Background:

  • Generative AI tools, like ChatGPT, are increasingly adopted by academics for efficiency.
  • Concerns exist regarding AI's potential for plagiarism, hallucinations, and inaccurate references in academic manuscripts.

Discussion:

  • Academic publishers are developing policies for generative AI use.
  • Potential issues include maintaining academic integrity and ensuring factual accuracy.
  • Ethical guidelines are needed for integrating AI into scholarly writing.

Key Insights:

  • Generative AI can support academic writing tasks when used responsibly.
  • Three categories of ethical AI applications in research are identified.
  • Four guiding principles promote high-quality, integrity-driven research outputs.

Outlook:

  • Further development of ethical frameworks for AI in academia is crucial.
  • Responsible AI integration can enhance research productivity while upholding scholarly standards.
  • Healthcare simulation scholars can benefit from clear guidance on legitimate AI use.