Normative Dimensions of Data, Algorihtms and AI in Primary Care

This lecture is presented by University of Toronto Joint Centre for Bioethics (JCB), and is part of the JCB Bioethics Seminar Series.
Title: Normative Dimensions of Data, Algorihtms and AI in Primary Care

Abstract:

This presentation examines controversies surrounding the gradual introduction of Artificial Intelligence (AI) into primary care. It proposes shifting the focus of AI ethics from what AI is to what AI does in primary and community healthcare. A traditional approach centered on what AI is identifies significant issues of algorithmic bias, privacy, and clinical accuracy. By contrast, attending to what AI does means understanding it not as a stable technology but as something that unfolds within a particular temporal and sociotechnical context. The analysis draws on an ongoing empirical philosophy research project in the Catalan primary care system (Spain), conducted from the perspective of Science and Technology Studies (STS). The project aims: (a) to analyze how primary care professionals perceive AI and its impact on their competencies, professional identity, and working conditions; (b) to identify concerns and potential biases in patients’ access to, and relationship with, the healthcare system arising from algorithm-based automation; (c) to evaluate the impact of AI and other automation systems on the daily practices and routines of primary care centers; and (d) to develop a participatory decalogue of recommendations (Policy Brief) to ensure that AI improves primary care. The findings raise ethical questions that exceed bias and privacy. Who defines what counts as good care when efficiency and prediction become organizing criteria? Whose bodies and forms of life are rendered legible, or invisible, by standardized classifications? From a care-ethics perspective, AI governance in primary care should explicitly acknowledge the coexistence of multiple modes of existence of health and caregiving, rather than privileging a single standardized model grounded in prediction, efficiency, and individualization.

Presenters:

Dr. Núria Vallès-Peris
PhD - Science and Technology Studies
Tenured Scientist, Spanish National Research Council

Additional Details:

Join us on Wednesday, November 11th, 2026 · 4:00 - 5:00 PM EST

Hybrid Event with Online Live Broadcasting

Registered participants will receive the event link by email on the day of the event.

Questions?

Please email JCB, [email protected].