Join our monthly “Let’s Talk AI” Club sessions! As the field of generative AI rapidly evolves, research administrators face the challenge of staying informed. Our sessions feature expert speakers who delve into practical applications of generative AI tools. Learn how to harness this technology effectively in research administration. Engage in group discussions and get your questions answered during our Q & A period.

February's AI Club discussion: Practical AI for Research Administration: Using AI Effectively, Responsibly, and with Human Oversight 

Artificial intelligence is increasingly influencing how research administration work is carried out, from proposal support and communication to reporting and workflow management. This talk offers a practical, non-technical introduction to using AI as a support tool in research administration while preserving professional judgment, accountability, and compliance. It will discuss how clear instructions improve AI outputs, why human oversight must remain central in all AI-assisted tasks, and how supervised AI-supported workflows can help reduce repetitive work without compromising control, data privacy, or institutional policy. Through concrete, administrator-focused examples, participants will gain a clear understanding of where AI adds value, where its limitations lie, and how to adopt it responsibly in their day-to-day work.

Future Meeting dates:
February 11, 2026, 12-1pm EST.
March 11, 2026, 12-1pm EST.
*registering for this event will enroll you in all Let's Talk AI Club Meetings for 2025-2026*
Organizers: Karen Mosier and Bonnie Zink
Karen E. Mosier 
Research Coordinator  
Department of Surgery/University of Saskatchewan  
 
Bonnie Zink 
Knowledge Mobilization and Community-Based Learning Specialist 
SK-NEIHR 


February Presentation: Palash Roy
Palash Ranjan Roy (also known as Palash Roy in academic publications) is a PhD Student in Computer Science at the University of Saskatchewan, Canada. His research focuses on code clone detection, refactoring methodologies, and large language model applications in software engineering.
With publications in renowned venues like ICSME, ESEM, IWSC etc, Palash has received multiple awards including the Research Excellence Award. Originally from Bangladesh, Palash completed his undergraduate studies at BRAC University before moving to Canada to pursue graduate studies.
He is affiliated with both the Software Research Lab and Interactive Software Engineering Lab, where he explores the intersection of AI and software development to create more efficient and reliable coding tools.
Throughout his academic journey, Palash has demonstrated exceptional aptitude in software engineering research, particularly in applying AI techniques to solve complex coding problems. His work on identifying code clones using large language models has been recognized internationally, reflecting his commitment to advancing the field.


Event Date: Recurring | City: | Venue: Online