Beyond the Algorithm with Dr. Susanne Gaube (Registration Deadline: Oct. 27)
Title: Beyond the Algorithm: Human Factors at the Heart of AI in Healthcare
Registration Deadline: Oct. 27 (Mon.)
Event Date: Nov. 4 (Tue.)
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
Come join us for an exciting event at the Data Sciences Institute on November 4 (Tue.) at 4:30pm, where we will discuss the important role of human factors in the development and implementation of artificial intelligence in healthcare.
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 explore 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 realizing 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
· 4:00-4:30pm: Registration Check-in 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.
Register to Participate by Oct. 27 (Mon.)
