Scholarly Publishing

Artificial Intelligence (AI) is changing how research is written, reviewed, and discovered. From AI-assisted writing to peer review, the landscape is shifting rapidly and also unevenly across disciplines. AI is used to varying degrees in areas such as:

• Writing support
• Translation
• Citation management
• Data analysis
• Peer review
• Literature discovery

Responsibilities

While AI can be helpful, its use in scholarly publishing comes with responsibilities.

• Many journals now require disclosure of AI use.
• Most publishers and funders do not allow AI to be listed as an author. AI tools can fabricate information, misquote sources, and introduce bias. You must review, fact-check, revise, and take fully responsibility for any AI-generated output.
• Do not input confidential data, proprietary methods, or unpublished findings into generative AI tools.
• Peer reviewers should never use AI to summarize or critique confidential manuscripts.
• Always check journal policies, funder policies, and disciplinary guidelines.

Tools and Resources

• GAIDeT Declaration Generator (this blog post describes this tool for generating a standard declaration of AI use)
• COPE (Committee on Publication Ethics) Focus on Artificial Intelligence
• STM (International Association of Scientific, Technical & Medical Publishers): Generative AI in Scholarly Publishing report

• Elsevier: Generative AI policies for journals
• Emerald: Artificial Intelligence (AI)
• Nature Portfolio Editorial Policies: Artificial Intelligence (AI)
• NIH: Artificial Intelligence in Research: Policy Considerations and Guidance
• NSF: Notice to research community: Use of generative artificial intelligence technology in the NSF merit review process
• Sage: Editorial policies: Artificial Intelligence policy
• Springer: Artificial Intelligence (AI)
• Taylor & Francis: AI Policy
• Wiley: Artificial Intelligence