Artificial Intelligence: Detecting Intention and Deception
Artificial intelligence (AI) continues to enhance our problem-solving ability in areas such as cybersecurity, energy costs, healthcare, and more. An area of Professor Eugene Santos' research explores AI's predictability on human factors such as decision making, goals, reward structures, and deception. To better understand this AI needs intentions as intent drives behavior and decision-making.
Join Professor Santos for a virtual journey exploring AI and its intricacies. Can computers identify intent? Should AI be allowed to deceive? Who would you allow to command a war: a toddler or AI? How can 'computational intent' provide AI the guardrails it needs? Because without them AI, can “happily” be “weird,” which at best is funny, but at worst disastrous.
Friday, October 2, 2020
12:00 pm EDT / 9:00 am PDT
Registration required to receive the Zoom webinar link and passcode.
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Eugene Santos, Jr., Ph.D.
Professor of Engineering
Eugene Santos, Jr. is a Professor of Engineering at Thayer School and Adjunct Professor of Computer Science at Dartmouth. Professor Santos’ work on artificial intelligence intersects the areas of information, cognition, human factors, and mathematics. His current focus is on computational intent, dynamic human behavior, and decision-making with an emphasis on learning nonlinear and emergent behaviors and explainable AI.
Professor Santos has applied his work with the goal of better understanding how we, both as individuals and our society, can best leverage knowledge through AI to improve our world for social good. These application areas include computational social systems and social resilience; user and team modeling, and cybersecurity. In January 2020, he was appointed to the State of Vermont Taskforce on AI, he serves on the Board of Directors for Sigma Xi as the Northeast Region Director, and is a 2019 Public Voices fellow of the OpEd Project. He served as Editor-in-Chief for the IEEE Transactions on Cybernetics from 2008-2013. Professor Santos is a Fellow of the AAAS and IEEE. He received his Ph.D. in Computer Science from Brown University.
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