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Ethics and Artificial Intelligence for Health

Course Number
3000 (Bioethics)
Course Instructor(s)
Jay Shaw

Course Description

Artificial intelligence (AI) has been described as the ‘fourth industrial revolution’ with wide-reaching implications globally, including in health. AI methods and applications hold promise for aiding in the promotion of health behaviours, the detection of and early intervention in addressing communicable and non-communicable diseases, the diagnosis and treatment of disease, and the development of equitable public health and health systems policies. However, AI also raises important ethical issues and questions. With increasing scale and spread of AI methods and technologies in health, it is imperative to identify and address these ethical issues and questions early, systematically and by design. The goal of this introductory course on ethics and AI for health is to orient students to the core ethical issues relevant to AI research and practice in contemporary health systems.

Course Objectives

By the end of the course, students will be able to:

  • Identify key ethical issues and considerations related to the use of AI in health;
  • Recognize the ethical dimensions of AI methods and applications;
  • Apply key ethics concepts and approaches to AI research design;
  • Work cooperatively with students from different disciplines on ethical issues in AI for health.

Methods of Assessment

Reading Responses (4 @ 5% each): 20%
Ethics by Design – Group Project 20%
Final Paper 50%
Class Participation 10%