Students are increasingly integrating AI tools into their learning and work placements. This interactive webinar explores how to guide and support them to use AI responsibly while upholding the standards of professionalism they will take with them into the workplace.

Using real world examples, you’ll learn to apply the principles of CARE-AI (Creating Accountable and Responsive Ethics for Artificial Intelligence) to scenarios involving AI use in educational contexts. Key issues include personal responsibility, privacy management, algorithmic bias and critical review of AI outputs.

Key takeaways:

By the end of the session, you will be able to: 

•    Analyze and discuss students’ current uses of AI, identifying potential opportunities and challenges related to professionalism 
•    Apply the CARE-AI framework to real-world scenarios, addressing ethical considerations such as personal responsibility, privacy and fairness
•    Develop practical strategies to guide learners in using AI responsibly and ethically, while upholding professionalism standards

Your hosts:

•    Dr. Janet Corral, PhD, Senior Scientist, Equity in Health Systems Lab, University of Ottawa
•    Dr. Lyn Sonnenberg, MD, Equity in Health Systems Lab, University of Ottawa
•    Dr. Jerry Maniate, MD, Director, Equity in Health Systems Lab, University of Ottawa
•    David Wiljer, PhD, Professor, University of Toronto; Executive Director, Educational Technology Innovation, University Health Network, Academic Director, Continuing Professional Development
•    Muhammad Mamdani, MD, Vice President - Data Science and Advanced Analytics, Unity Health Toronto; Director - University of Toronto Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM); Professor - University of Toronto
•    Brandon Tang, MD, MSc, FRCPC, ABIM; Assistant Professor, University of Toronto
•    Babar Haroon, MD, Associate Dean, Graduate Medical Education, School of Medicine, Dalhousie University