How do you know if you're using #ai responsibly in your research? When should you disclose AI use and why is transparency around AI often taboo?

Join Sara Falcon, Director of UX Strategy,  @johnwileysons   and Avi Staiman, CEO,  @Aclang Academic Language Experts, for an eye-opening conversation about the practical realities researchers face when integrating AI into their work.
 
Discover the 2025 ExplanAItions study: https://www.wiley.com/en-us/about-us/ai-resources/ai-study/

Learn about our partnership with Perplexity: https://www.wiley.com/en-us/solutions-partnerships/academic-institutions/instructors-administrators/perplexity/

See our AI guidelines for book authors: https://www.wiley.com/en-us/publish/book/resources/ai-guidelines/

In this episode, discover:
A practical risk-assessment framework for evaluating AI use in research
Why transparency about AI use remains taboo—and how to change that culture
The critical difference between LLMs and RAG tools (and when to use each)
How to write prompts that actually work—think "brilliant student who skipped K-12"
The hidden danger of relying on AI summaries for literature reviews
How early career researchers can develop AI literacy without losing core skills
 
Perfect for:
Researchers navigating AI adoption
Publishers developing AI guidelines
R&D teams evaluating AI tools
Academic institutions shaping AI policy
Anyone working at the intersection of AI and scientific integrity