Talk Title:
“The allegory of the OR: ethics, anaesthetics, and cybernetics”
Bio:
The Schwartz Reisman Institute’s weekly seminar series welcomes Frank Rudzicz, scientist at the Li Ka Shing Knowledge Institute at St. Michael’s Hospital, director of artificial intelligence at Surgical Safety Technologies Inc., associate professor in the Department of Computer Science at the University of Toronto, co-founder of WinterLight Labs Inc., faculty member at the Vector Institute for Artificial Intelligence, inaugural chair of the Standards Council of Canada’s subcommittee on Artificial Intelligence, and CIFAR chair in artificial intelligence.
Rudzicz’s work is in machine learning in healthcare, especially in natural language processing, speech recognition, and surgical safety. His research has appeared in popular media such as Scientific American, Wired, CBC, the Globe and Mail, and in scientific press such as JAMA Open, and Nature.
Abstract:
In this talk, I will cover some risks of deep machine learning, mitigation of those risks with explainable AI, the potential of deep machine learning in the operating room, and other implications for practice before discussing the ethics of AI in surgery based on an upcoming book chapter on the topic.
There, we discuss the four key principles of bio-medical ethics from surgical context. We elaborate on the definition of “fairness” and its implications in AI system design, with taxonomy of algorithmic biases in AI. We discuss the shifts in ethical paradigms as the degree of autonomy in AI systems continue to evolve. We also emphasize the need for continuous revisions of ethics in AI due to evolution and dynamic nature of AI systems and technologies.
I hope to add some controversial criticism of how we approach AI ethics, for my own amusement.
A list of recommended readings to accompany this event is available on the Schwartz Reisman website.