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Let's be fair. What about an AI editor?

Xiaoxu Ling1, Siyuan Yan2

  • 1Institute of Accounting and Finance, School of Accountancy, Shanghai University of Finance and Economics, Shanghai, China.

Accountability in Research
|June 12, 2023
PubMed
Summary

Artificial intelligence (AI) natural language processing (NLP) requires consistent ethical policies in academic publishing. This includes applying standards to both authors and the peer-review process for integrity.

Keywords:
AIChatGPTNLPeditorial policyresearch ethics

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Area of Science:

  • Scholarly communication
  • Artificial intelligence
  • Natural Language Processing

Background:

  • Current focus on AI ethics in NLP neglects its role in academic publishing's editorial and peer-review processes.
  • Existing ethical guidelines for AI and NLP primarily address research integrity, not publication workflows.

Discussion:

  • Academic publishing needs a unified, end-to-end policy for AI and NLP ethics and integrity.
  • This policy should encompass standards for manuscript preparation and author disclosure requirements.
  • Consistent application of these standards is crucial for maintaining trust in scholarly communication.

Key Insights:

  • AI and NLP tools are increasingly prevalent, necessitating ethical frameworks within publishing.
  • A gap exists in addressing the ethical implications of AI/NLP in peer review and editorial decision-making.
  • Proactive policy development is essential to guide the responsible use of AI in academic publishing.

Outlook:

  • Developing and implementing comprehensive AI and NLP ethics policies for academic publishing is paramount.
  • Future work should focus on creating practical guidelines for authors, editors, and reviewers.
  • Establishing clear disclosure criteria for AI-assisted contributions will enhance transparency and integrity.