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Keynote Speakers

Tuesday, 28 May 2024

 
J. Ross Mitchell
University of Alberta
AI and Precision Health
This talk will present new efforts underway at the University of Alberta in Edmonton AB to develop and translate AI technology into clinical practice. The College of Health Sciences at UAlberta is collaborating with the Alberta Machine Intelligence Institute (Amii) and Alberta Health Services (AHS) to support AI applied to precision health. AHS is Canada’s first and largest province-wide, fully integrated health system. For the past 20 years AHS has developed and maintained a broadly integrated data warehouse to collect and protect health data everywhere they provide services to over 4.5M people. This data allows construction of large population-level datasets critical for inclusive and generalizable AI and precision health research. This presentation will discuss some of the projects currently underway, and look ahead at new efforts to expand AI and Precision Health research at UAlberta and beyond.

Dr. Mitchell is currently a professor in the Department of Medicine and the Senior Program Director of Artificial Intelligence Adoption with AHS. He received his PhD at the University of Western Ontario and has been working in the fields of biomedical imaging, artificial intelligence, and machine learning for 30 years. Dr. Mitchell was the inaugural Artificial Intelligence Officer at the H. Lee Moffitt Cancer Center and Research Institute in Tampa, Florida from 2019 to 2021. There, he led efforts to develop AI tools to improve the efficiency and quality of cancer care, including models to predict patient outcomes from electronic health record data, and natural language processing to infer diagnostic codes from free-text pathology reports. He was also a Professor of Radiology at Mayo Clinic in Arizona from 2011 to 2019 and Professor of Biomedical Engineering, Radiology, and Clinical Neurosciences at the University of Calgary from 2000 to 2011.

Thursday, 30 May 2024

 
Kate Larson
University of Waterloo
Cooperative AI
Problems of cooperation are ubiquitous and important. They can be found at scales ranging from our daily routines—such as driving on highways, scheduling meetings, and working collaboratively—to our global challenges—such as peace, commerce, and pandemic preparedness.  Since machines powered by AI are playing an ever-greater role in our lives, it will be important to equip them with the capabilities necessary to cooperate and foster cooperation. In this talk I will discuss some of the research challenges that emerge when we place cooperation at the heart of AI systems.

Kate Larson is a professor and holds a University Research Chair at the University of Waterloo and is a research scientist at Google DeepMind.   She is interested in algorithmic questions arising in artificial intelligence and multiagent systems with a particular focus on algorithmic game theory, group decision making, preference modelling, and the insights that reinforcement learning can bring to these problems, along with ways of promoting and supporting cooperative AI. Among many things, she is co-editor-in-chief of the Journal of Autonomous Agents and Multiagent System and is serving as program chair for IJCAI 2024.

Program Chairs

Fattane Zarrinkalam
School of Engineering, University of Guelph

Randy Goebel
Department of Computing Science/Alberta Machine Intelligence Institute (Amii), University of Alberta

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