October 12, 2021 2:00pm EST
AI is everywhere. It’s being integrated into the tools we use everyday for work and play. It’s being used for peace and it’s being used for war. However, AI is currently a black box: we know what goes into training the AI model and we can study the output, but how exactly a model makes its decisions is still a bit of a mystery. How can we trust AI models if we don’t understand how they reach their conclusions? During this session, we will explore the topic of Explainable AI and debate whether or not AI systems will ultimately explain their decisions to us, much like human beings do.
The debate will be moderated by Amber Mac and will feature Dr. Frank Rudzicz (University of Toronto), Dr. Amber Simpson (Queen’s School of Computing), Dr. Pasquale Minervini (University College London), and Dr. Tracy Jenkin (Smith School of Business)!
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.