Beyond the Algorithm: Human Factors at the Heart of AI in Healthcare
Date: Tuesday November 4th
Where: In Person, Data Sciences Institute (700 University Ave, 10th Floor)
When: 4:30-6:30PM
Method: In Person Only
Note: This event is not CPD accredited
Overview
Artificial intelligence (AI) promises to transform healthcare delivery, but its success depends as much on its users as on the algorithms. This keynote and workshop explores critical human factors that shape the adoption and effective use of AI in clinical settings. From cognitive biases and workflow integration to professional autonomy and collaboration, we will discuss why understanding human behaviour is essential for realising the potential of AI without compromising patient safety or care quality. This workshop is funded through institutional grants from the University of Toronto and University College London. Space is limited to 40 attendees. Food and light refreshments will be provided.
Agenda
| Time | Activity |
|---|---|
| 4:00-4:30PM | Registration at 700 University Ave, 10th Floor |
| 4:30-5:00PM | Keynote by Prof. Susanne Gaube |
| 5:00-6:30PM | Workshop with Participants |
About Prof. Susanne Gaube
Dr. Susanne Gaube is a Lecturer (Assistant Professor) in Human Factors in Healthcare at UCL’s Global Business School for Health (GBSH). Her research focuses on (a) identifying opportunities in healthcare that could benefit from the introduction of digital technologies, (b) understanding the support needs of healthcare providers and patients and optimal ways to implement digital health technologies, and (c) improving the interaction between users and technology with a particular focus on Radiology, Infection Prevention and Control, and Mental Health. She also investigates how AI-enabled clinical decision support systems influence decision-making and proposes strategies to enhance human-AI collaboration.
Organizers
- HIVE Lab – Health Informatics, Visualization, and Equity at the Institute of Health Policy, Management and Evaluation
- Data Sciences Institute (DSI), University of Toronto
- Temerty Centre for AI Research and Education in Medicine (T-CAIREM), University of Toronto
Registration & Access
- Apply to Participate by October 27th: Register here
Contact
For questions, please contact konrad[dot]samsel[@]mail[dot]utoronto[dot]ca.
Last updated: October 10, 2025