Artificial intelligence in healthcare: Challenges and opportunities

30 November 2023, 2.00 PM - 30 November 2023, 3.00 PM

Avi Goldfarb (Rotman Chair in Artificial Intelligence and Healthcare & Professor of Marketing, Rotman School of Management, University of Toronto)


Hosted by Cardiff University's School of Medicine

AI presents an extraordinary opportunity and an extraordinary threat. But not in the way that might be expected. Today’s AI is best understood as prediction technology rather than a machine that can do everything humans do. Prediction technology can nevertheless transform the healthcare industry. It does this by decoupling prediction from the other aspects of decision making, thereby creating new ways of delivering value. Unleashing this potential requires the invention of new ways of operating, many of which remain undiscovered. Today, we sit in a striking phase in the development of this technology, The Between Times after witnessing AI’s potential, but before its widespread impact. On the other side of The Between Times, when this process of invention is complete, the changes in decisions will mean changes in power. For healthcare, this might mean a democratization of access and care. It might also mean disruption to those who benefit from the way the system works today.

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Bio: Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, a Research Associate at the National Bureau of Economic Research, and a research lead at the Acceleration Consortium. His research focuses on the economics of digital technology and artificial intelligence. He has published academic articles in marketing, computing, law, management, medicine, physics, political science, public health, statistics, and economics. He testified before the U.S. Senate Judiciary Committee on competition and privacy in digital advertising. Avi received his Ph.D. in economics from Northwestern University. He co-authored the bestselling books Prediction Machines and Power and Prediction, both on the economics of artificial intelligence.

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Enquires to Barbara Szomolay

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