In this episode I continue my series on Artificial Intelligence: The Promise and the Risk, interviewing Dr. Alexander Wong, P. Eng. Dr. Wong is currently the Canada Research Chair in Artificial Intelligence and Medical Imaging, Member of the College of the Royal Society of Canada, co-director of the Vision and Image Processing Research Group, and an associate professor in the Department of Systems Design Engineering at the University of Waterloo.

He has published over 600 refereed journal and conference papers, as well as patents, with his research focus on artificial intelligence, particularly machine learning, deep learning, and explainable AI.

We discuss Dr. Wong's ground-breaking research and I get introduced to "Explainable AI". This new tool allows researchers to determine what aspects of a problem an artificial intelligence focuses on to reach a solution.  Explainable AI may become necessary, or even legally required, if we want to use artificial minds to perform safety critical tasks.

Dr. Wong explains how artificial intelligence researchers, as a whole, have become more aware of the potential for bias in training datasets.

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