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You are invited to join us for our CAME WEBINAR SERIES

The CAME webinar series is designed to bring practical, evidence and experience-based advice to Canadian health educators.

Through these monthly Zoom-based CAME webinars, you can listen to presentations on key topics in health professional education and engage with an expert and colleagues in live discussions.

Registration is now free for CAME members! Recordings of webinars are also available to our members via our new membership portal!

 

Title: The Health CARE-AI Framework: A New Guide for Responsible Artificial Intelligence (AI) in Healthcare

Date: Tuesday, March 24, 2026 – This webinar will be delivered in English

Presentation 2: 12:00pm-1:00pm Pacific, (3:00pm-4:00pm Eastern)

Presenter: Dr. Lyn K. Sonnenberg, University of Alberta

Biography: 

Lyn K. Sonnenberg
HonBSc, MSc, MD, MEd, FRCPC (Peds, Dev Peds), EMBA
Lyn Sonnenberg is an educational innovator, a forward-thinking, intuitive, and strategic advisor who inspires and empowers. An experienced clinical and academic leader with advanced skills in assessment and education technology, she is recognized nationally and internationally for her teaching excellence, both as a medical education futurist and an equity, diversity, inclusivity, and ableism champion. She is drawn to the spaces of leadership in medical education, interprofessional collaboration, and professional identity formation. She previously served as the Associate Dean, Educational Innovation & Academic Technologies at the University of Alberta. A Professor Emeritus in Pediatrics at the University of Alberta, she is still a practicing neurodevelopmental pediatrician working with underserved communities. She has served previously as the Vice President of the Medical Council of Canada and the Inaugural Director, Learning Transformation at the Royal College of Physicians and Surgeons of Canada. She is the lead investigator for the CARE-AI project.

Overview:

AI is already shaping how learners study, how educators assess, and how institutions make decisions, often faster than policies, curricula, or comfort levels can keep up. This session starts from that reality. We’ll introduce the Health CARE-AI Framework not as abstract ethics, but as a practical way to name the responsibility showing up in everyday teaching and learning. Using familiar scenarios, participants will work through the ethical and professionalism questions AI introduces, particularly around accountability and judgment, while applying CARE-AI as a shared language to guide concrete decisions in curriculum, faculty development, and policy that keep equity and human judgment at the center of educational practice.

Learning Objectives:

By the end of this session, participants should be able to:

1. Explain how the Health CARE-AI Framework supports responsible ethics in health professions education, research, and care.
2. Critically engage with AI in health education scenarios to surface ethical tensions, institutional responsibilities, and relational impacts on learners, educators, and patients.
3. Develop actionable strategies to embed the Health CARE-AI principles into curriculum, policy, and faculty development initiatives that reflect the evolving role of AI in teaching and learning.

CAME Webinar - Group Registration for One Delivery - 12:00pm PST: The Health CARE-AI Framework: A New Guide for Responsible Artificial Intelligence (AI) in Healthcare

Register Now

  • Tuesday Mar 24 2026, 3:00 PM - 4:00 PM
  • Online via Zoom Platform
    Canada