Regulating the Safety of Health-Related Artificial Intelligence.

Journal: Healthcare policy = Politiques de sante
Published Date: May 1, 2022

Abstract

This article analyzes whether Canada's present approach to regulating health-related artificial intelligence (AI) can address relevant safety-related challenges. Focusing primarily on Health Canada's regulation of medical devices with AI, it examines whether the existing regulatory approach can adequately address general safety concerns, as well as those related to algorithmic bias and challenges posed by the intersections of these concerns with privacy and security interests. It identifies several issues and proposes reforms that aim to ensure that Canadians can access beneficial AI while keeping unsafe products off Canadian markets and motivating safe, effective use of AI products for appropriate purposes and populations.

Authors

  • Michael Da Silva
    Lecturer, University of Southampton Law School, Southampton, UK, Senior Fellow in AI and Healthcare, AI + Society Initiative, Centre for Law, Technology and Society, University of Ottawa, Ottawa, ON.
  • Colleen M Flood
    Professor, University Research Chair in Health Law & Policy, Director of the Centre for Health Law, Policy and Ethics, Faculty of Law (Common Law Section), University of Ottawa, Ottawa, ON.
  • Anna Goldenberg
    SickKids Research Institute, 686 Bay Street, Toronto, ON M5G 0A4, Canada; Department of Computer Science, University of Toronto, 40 St. George Street, Toronto, ON M5S 2E4, Canada. Electronic address: anna.goldenberg@utoronto.ca.
  • Devin Singh
    Department of Computer Science, University of Toronto, Toronto, Canada.

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