Description
The aim of this talk is to calibrate expectations such that we can make wise and effective choices in the use and development of AI. This talk will provide: 1) an overview of the space of current options in AI and its amazing rate of technological advancement, 2) error and inequities in AI systems and the biases that can result in the use of AI, and 3) hypotheses about avenues that could lead to future dream AI systems, which have the interpretability, explainability, and accountability needed to have a positive impact.
Chad Jenkins is a Professor of Robotics and a Professor of Electrical Engineering and Computer Science at the University of Michigan. His research addresses problems in robot learning from demonstration and human-robot interaction, primarily focused on dexterous mobile manipulation and robot perception. Professor Jenkins is currently serving as Vice President for Educational Activities for the IEEE Robotics and Automation Society. Professor Jenkins was the founding Program Chair of the Robotics Major Degree Program launched in 2022 for undergraduates at the University of Michigan. He was a founding Editor-in-Chief for the ACM Transactions on Human-Robot Interaction. Professor Jenkins is a Fellow of the American Association for the Advancement of Science (AAAS) and Association for the Advancement of Artificial Intelligence (AAAI).
