How to Disclose AI Use in Academic Research (Across Every Stage)

​AI tools are transforming how research is conducted from discovering literature and synthesizing evidence to writing, analyzing data, and preparing manuscripts. As AI becomes more integrated into academic workflows, researchers must also understand when, where, and how to disclose its use.

​Join this practical webinar to learn the latest best practices for transparently reporting AI assistance throughout the research lifecycle. We'll cover current guidance from leading publishers and discuss how to document AI use without compromising research integrity or authorship.

​In this session, you'll learn:

• ​When AI use should be disclosed and when it doesn't need to be

• ​How to write clear AI disclosure statements for manuscripts

• ​Best practices for using AI during literature reviews, writing, editing, coding, and data analysis

• ​How journal and publisher expectations are evolving

• ​Common disclosure mistakes and how to avoid them

• ​Practical examples you can adapt for your own research

​Whether you're a graduate student, postdoctoral researcher, faculty member, or research professional, this session will help you confidently incorporate AI into your work while maintaining transparency, reproducibility, and ethical research practices.