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Editorial: Generative artificial intelligence as a plagiarism problem.

Joseph Dien1

  • 1Department of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USA.

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This summary is machine-generated.

Generative artificial intelligence (AI) poses plagiarism risks in academic publishing. Authors must disclose AI use and rigorously cite sources to maintain scholarly integrity.

Keywords:
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Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Academic Publishing

Background:

  • Generative AI, exemplified by ChatGPT, raises significant concerns within academia.
  • The potential impact on scientific publishing, particularly in journals like Biological Psychology, requires careful consideration.

Discussion:

  • ChatGPT's underlying GPT algorithm and front-end interface present challenges in attributing credit for generated ideas.
  • A primary concern is the facilitation of plagiarism through the misuse of AI text generation.

Key Insights:

  • Authors are expected to be transparent regarding any use of AI in their submissions.
  • Declarations are necessary when AI serves as the source of an idea or text.
  • Increased diligence in identifying and citing prior claims is crucial when AI is involved.

Outlook:

  • Establishing clear guidelines for AI usage in scientific writing is essential.
  • Maintaining the integrity of scholarly communication requires proactive measures against AI-facilitated academic misconduct.
  • The journal Biological Psychology anticipates author adherence to new transparency and citation standards for AI-generated content.