AI is transforming how research is conducted — but not all AI tools are built for the rigors of scholarly work. This session equips researchers, librarians and educators with the knowledge to evaluate and use AI responsibly, using LeapSpace™ as a model of research-grade AI in practice.

What you will learn:

• How to navigate the evolving AI landscape and distinguish research-fit tools from consumer-grade alternatives
• How to identify and assess risks of inappropriate AI use across the scholarly research cycle
• Elsevier's Responsible AI principles: transparency, accountability, and human oversight
• Where to find ongoing policy guidance and support resources

Who should attend:
Researchers, graduate students, librarians and educators, and anyone looking to build confidence in making ethical, informed AI choices in their scholarly work.

How this helps you succeed:
You'll leave with practical frameworks for responsible AI decision-making and the confidence to integrate AI into your workflows with integrity. This session helps you move from awareness to action — strengthening, rather than compromising, the quality of your scholarship.