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Background <p>The rapid integration of generative artificial intelligence (AI) into biomedical research and publishing workflows has created urgent governance needs to protect research integrity while enabling responsible innovation. Key risks include confidentiality breaches, fabricated or unverifiable content, hallucinated citations, unclear provenance, and accountability gaps.</p> Objective <p>To present a comprehensive, actionable AI policy framework for the International Journal of Diabetes in Developing Countries (IJDDC) covering authors, editors, and peer reviewers.</p> Methods <p>We developed the IJDDC standards by aligning with ICMJE Recommendations (January 2024), Springer Nature editorial policies, and publication-ethics guidance (COPE), supplemented by the STM Association’s generative AI framework. We also performed a comparative synthesis of major publisher policies (Elsevier, Wiley, SAGE, and Taylor &amp; Francis) across ten governance dimensions to identify consensus areas and practical implementation elements.</p> Results <p>The framework establishes five core principles—human accountability, transparency, confidentiality, integrity, and provenance—and provides role-specific guidance defining permitted and prohibited AI uses. It includes standardized disclosure templates (including Methods-section templates for AI-assisted analyses), operational checklists, editor “red flag” indicators for potential AI misuse, and a COPE-aligned stepwise pathway for investigation and resolution.</p> Conclusion <p>These IJDDC standards provide a practical governance model for responsible AI use in scholarly publishing and may be adapted by other biomedical journals seeking implementable AI policies. </p>

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AI policy framework for authors, editors, and peer reviewers: The IJDDC standards for responsible use of artificial intelligence in scholarly publishing

  • 期刊论文

  • 发表日期：

    2026年4月28日

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  • Amit Kumar Dey,
  • Shambo Samrat Samajdar,
  • Rajeev Chawla

摘要

Background

The rapid integration of generative artificial intelligence (AI) into biomedical research and publishing workflows has created urgent governance needs to protect research integrity while enabling responsible innovation. Key risks include confidentiality breaches, fabricated or unverifiable content, hallucinated citations, unclear provenance, and accountability gaps.

Objective

To present a comprehensive, actionable AI policy framework for the International Journal of Diabetes in Developing Countries (IJDDC) covering authors, editors, and peer reviewers.

Methods

We developed the IJDDC standards by aligning with ICMJE Recommendations (January 2024), Springer Nature editorial policies, and publication-ethics guidance (COPE), supplemented by the STM Association’s generative AI framework. We also performed a comparative synthesis of major publisher policies (Elsevier, Wiley, SAGE, and Taylor & Francis) across ten governance dimensions to identify consensus areas and practical implementation elements.

Results

The framework establishes five core principles—human accountability, transparency, confidentiality, integrity, and provenance—and provides role-specific guidance defining permitted and prohibited AI uses. It includes standardized disclosure templates (including Methods-section templates for AI-assisted analyses), operational checklists, editor “red flag” indicators for potential AI misuse, and a COPE-aligned stepwise pathway for investigation and resolution.

Conclusion

These IJDDC standards provide a practical governance model for responsible AI use in scholarly publishing and may be adapted by other biomedical journals seeking implementable AI policies.