Published July 13, 2021
Kenneth Regan, Associate Professor in the Department of Computer Science and Engineering at UB and an avid chess player, is known for his predictive analytic models in the world of chess. His algorithms utilize tens of thousands of chess game datasets, along with the high-performance computing resources from the Center for Computational Research, to help determine if a chess opponent is making moves like a human or more like a computer. Professor Regan’s research has been endorsed by the US Chess Federation as a way to help identify cheating in games of chess, whether in person or online. Learn more about the methodology behind this research.
In June 2021, Professor Regan had a conversation titled “Chess and AI: The Role of Transparency” with Marc Rotenberg, President and founder of The Center for AI and Digital Policy. This discussion focused on the efforts used to promote fair play and transparency in the world of chess – watch a recording of the event here.