October 12, 2021 2:00pm EST
Dr. Frank Rudzicz is an Associate Professor in Computer Science at the University of Toronto. He is also a Scientist with the International Institute for Surgical Safety at the Li Ka Shing Knowledge Institute at St. Michael’s Hospital; Director of AI, Surgical Safety Technologies; Co-Founder of WinterLight Labs; and a Faculty Member at the Vector Institute for Artificial Intelligence.
An international expert on speech technology for individuals with speech disorders, his research applies natural language processing and machine learning to various aspects of healthcare, including detecting dementia for speech.
Dr. Amber Simpson is the Canada Research Chair in Biomedical Computing and Informatics and an Associate Professor with the School of Computing in the Faculty of Arts and Science and the Department of Biomedical and Molecular Sciences in the Faculty of Health Sciences at Queen’s University.
After receiving a PhD in Computer Science from Queen’s, she joined Venderbilt University as a Research Assistant Professor in Biomedical Engineering at became faculty at the Memorial Sloan Kettering Cancer Centre in New York. She is an American Association of Cancer Research award winner and recipient of the Mihran and Mary Basmajian Award for Excellence in Health Research.
Joining the Queen’s School of Computing in 2019 and specializing in biomedical data science and computer-aided surgery, her research group is focused on developing novel computational strategies for improving human health.fer in modern network systems.
Dr. Pasquale Minervini is a Senior Research Fellow at the University College London (UCL) and a Consultant with the NEC Laboratories Europe GmbH.
His research looks to improve machine learning systems by drawing connections to other fields of AI with a focus on designing representation and deep learning models that are statistically robust and trustworthy, data efficient, verifiable, and explainable, and their applications.
Dr. Tracy Jenkin is an Associate Professor at the Smith School of Business, a Faculty Affiliate at the Vector Institute for Artificial Intelligence, and an Affiliate Member of Ingenuity Labs.
She is a Distinguished Faculty Fellow of MIS and her research explores human-AI collaboration and cognitive processes.
Dr. Jenkin received her PhD in Management (MIS), with a minor in Computer Science, from Queen’s University. She previously worked in the IT and software industry for ten years, working with a broad range of organizations, such as Accenture, Dell and new venture Trilogy Software, and across a diverse set of industries, including telecom, high-tech, financial services, and commodity chemicals.
Two participants will debate that AI systems will eventually be explainable while the other two participants will debate that AI systems will continue to be a black box. Each debater will be allotted 5 minutes for their opening statements followed by 20 minutes of rebuttals. The debate will close with a Q&A session from the audience.
Please stay tuned for announcements regarding our debate panel, they will be some of the leading voices in robotics and AI research.