Cracking the code: a scoping review to unite disciplines in tackling legal issues in health artificial intelligence.

Journal: BMJ health & care informatics
PMID: 40216451

Abstract

OBJECTIVES: The rapid integration of artificial intelligence (AI) in healthcare requires robust legal safeguards to ensure safety, privacy and non-discrimination, crucial for maintaining trust. Yet, unaddressed differences in disciplinary perspectives and priorities risk impeding effective reform. This study uncovers convergences and divergences in disciplinary comprehension, prioritisation and proposed solutions to legal issues with health-AI, providing law and policymaking guidance.

Authors

  • Sophie Nunnelley
    Lincoln Alexander School of Law, Toronto Metropolitan University, Toronto, Ontario, Canada s.nunnelley@torontomu.ca.
  • 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.
  • 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.
  • Tanya Horsley
    The Royal College of Physicians and Surgeons of Canada, Toronto, Canada.
  • Sarathy Kanathasan
    Division of Pediatric Emergency Medicine, Hospital for Sick Children, Toronto, Canada.
  • Bryan Thomas
    University of Ottawa Faculty of Law, Fauteux Hall, 57 Louis-Pasteur Private, Ottawa, ON, K1N 6N5, Canada.
  • Emily Ann Da Silva
    University of Ottawa Libraries, Ottawa, Ontario, Canada.
  • Valentina Ly
    University of Ottawa, Ottawa, Canada.
  • Ryan C Daniel
    University of Toronto, Toronto, Canada.
  • Mohsen Sheikh Hassani
    Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada.
  • Devin Singh
    Department of Computer Science, University of Toronto, Toronto, Canada.

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