Towards an AI policy framework in scholarly publishing

Area of Science:

• Scientific publishing
• Medical research
• Artificial intelligence ethics

Background:

• The integration of artificial intelligence (AI) into academic research is accelerating.
• Significant ethical concerns accompany the widespread adoption of AI tools in scientific and medical fields.
• Current publishing policies exhibit inconsistencies and limitations in addressing AI-driven research practices.

Purpose of the Study:

• To analyze existing science and medicine publishing policies regarding artificial intelligence (AI) usage.
• To identify gaps and inconsistencies in current guidelines for AI in research.
• To propose a framework promoting responsible and transparent AI integration in academic publishing.

Main Methods:

• Examination of major scientific and medical journal publishing policies.
• Comparative analysis of policy content related to artificial intelligence (AI) tools.
• Development of a proposed policy framework based on identified needs.

Main Results:

• Inconsistencies and limitations were found in current publishing policies for AI tools.
• Existing guidelines are insufficient to ensure responsible AI adoption and transparency.
• A need for standardized policies addressing AI in academic research is evident.

Conclusions:

• Responsible AI integration in academic research requires updated and consistent publishing policies.
• The proposed framework offers adaptable policy templates for authors and reviewers.
• Implementing clear guidelines is crucial for maintaining research integrity amidst AI advancements.