"Great power but no responsibility": AI responsibility in medical contexts

Hui Xian Chia, PhD candidate

“Great Power But No Responsibility”: Who is Responsible for Harm Caused by Artificially Intelligent Systems Delivering Medical Care? - A PhD research project by CAIDE Graduate Researcher, Hui Xian Chia

Artificial Intelligence (AI) technology has been called “the new electricity” – like the invention of electricity which revolutionised every industry and every area of our lives, experts predict that AI technology will have a similarly transformational impact on every aspect of modern society. The AI revolution has already begun in healthcare. From AI systems that use computer vision to identify cancers, to apps that predict when patients are at risk of acute kidney injury, the delivery of medical care is being transformed by the latest AI technology. This technology offers tremendous potential for improving patient outcomes and the standard of healthcare, but when things go wrong AI technology also has the potential to cause grave harm. Whilst AI technological developments are racing ahead, many of the legal and ethical implications of AI remain unanswered.
The central question for the use of AI technology in healthcare is: whose fault is it when patients are harmed? This thesis will take an interdisciplinary approach to unite discussions of the legal and ethical questions regarding how AI technology should be used, with the capabilities of AI systems that are being developed in computer science research.

  • Hui Xian Chia
    Hui Xian Chia

    PhD Candidate

    Melbourne Law School

    University of Melbourne