AI has rapidly become part of academic research — from literature reviews to manuscript writing but with its growing use comes a pressing question: Are researchers being transparent about their use of AI tools?
A recent analysis reveals that over 75% of authors using AI fail to disclose it, even when required by journals. As AI becomes embedded in the research process, the need to understand when and how to disclose its use has never been more critical.
To help academics navigate this evolving landscape, we’re thrilled to announce the next session in The AI Exchange Series — Understanding AI Disclosures: Why, When, and How to Disclose AI Use.
Date: Monday, November 10, 2025
Time: 1:00 PM EDT | 5:00 PM GMT | 10:30 PM IST
Language: English
Duration: 1 hour
In this session, we’ll explore the importance of AI transparency in research and the steps authors can take to meet journal expectations. Expect practical, real-world insights on:
You’ll also get the chance to ask your questions during a live Q&A session and walk away with actionable guidance to ensure responsible and ethical AI use in your own writing.
Professor Tina Austin
University of Southern California
Professor Tina Austin is an AI ethics consultant, biomedical researcher, and educator who helps universities and organizations adopt AI responsibly. She has taught at UCLA, USC, CSU, and Caltech in subjects ranging from regenerative medicine and computational biology to AI ethics and communication.
Tina is also the founder of GAInable.ai, a platform that empowers educators to use generative AI ethically and creatively. Recognized among ASU+GSV’s Top Leading Women in AI and as a Microsoft Innovative Educator Expert, she advises the California Department of Education and the Los Angeles AI Taskforce on responsible and inclusive AI adoption in education.
This session is a must-attend for students, researchers, and educators who want to stay ahead of evolving AI norms in publishing. You’ll gain clarity on how to disclose AI use correctly, avoid potential ethical pitfalls, and ensure your work upholds the highest standards of academic integrity.
Don’t miss this chance to learn directly from a global AI ethics expert and strengthen your approach to AI use in academia – Register for free today!
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