Table 1. Guiding Principles for Using AI in Family Medicine Research and Publishing.

For authors: • Disclose any use of AI or LLM in the research or writing process and describe how it was used (eg, “I used Chat GPT to reduce the word count of my paper from 2,700 to 2,450”). Standard disclosure statements may be helpful. The JAMA Network (Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance, https://jamanetwork.com/journals/jama/fullarticle/2816213) is an example. • Be accountable to ensure their work is original and accurate. For example, when using LLMs to generate text, authors can unwittingly plagiarize existing work. Authors are ultimately responsible for ensuring their work is original. • Understand the limitations of LLMs (eg, erroneous citations). • Be aware of the potential for AI or LLMs to perpetuate bias.

For j ournals and editorial teams: • Explore ways AI can streamline the publication process at various stages. • Develop clear, transparent guidelines for authors and reviewers before using LLMs in publishing. • Do not allow LLMs to be cited as authors on manuscripts. • Develop a method to accurately evaluate the use of LLMs in the writing process (eg, determine plagiarism, assess validity of references, and fact check statements).33