Send message to Authors

Short abstract:

Using a participatory approach and co-design with diverse actors in health, Artificial Intelligence (AI), bioethics, and the community, this research aims to develop a framework to guide AI governance in health systems and responsibly deploy diabetes prevention and prediction models in Canada.

Long abstract:

Responsible Artificial Intelligence (AI) can be understood as “being responsible for the power that AI brings.” (Dignum V, 2022). It demands the identification of actors that ought to take responsibility for developing and deploying technologies ethically. At the conceptual level, responsible innovation adds explicit ethical reflection to “values” conflicts and their resolutions in Science and Technology Studies. This is because the attribution of responsibility is an act carried out by specific actors with broad societal implications. Importantly, responsible innovation demands a unique set of considerations when applied to population health and health systems. Using a participatory approach and co-design with diverse actors in health, AI, bioethics, and the community, this research aims to develop a framework to guide AI governance in health systems and responsibly deploy diabetes prevention and prediction models in Canada. The multi-level governance of these AI-enabled technologies creates possibilities and opportunities for involving a broader range of actors to provide meaningful, values-based inputs and encourage human-centered design practices. In this context, we will examine which actors should participate in the decision-making processes and explore the ethical consequences of the distribution of responsibilities of these actors on the governance of AI-enabled diabetes models, to help achieve sustainable, high-quality care for the health systems in Canada and beyond.