Technology Frontier Talk: Cooperating with Machines
Speaker: Jacob Crandall (Brigham Young University)
Since Alan Turing envisioned artificial intelligence, technical progress has often been measured by the ability to defeat humans in zero-sum encounters (for example, Chess, Poker or Go). Perhaps less attention has been given to scenarios in which human–machine cooperation is beneficial but non-trivial, such as scenarios in which human and machine preferences are neither fully aligned nor fully in conflict. Cooperation does not require sheer computational power, but instead is facilitated by intuition, cultural norms, emotions, signals and pre-evolved dispositions. In this talk, I will discuss how the way that artificial intelligence is created (by human designers), incentivised (by human regulators) and perceived (by human interactants) impacts its ability to cooperate with people. While the studies and results I will present illustrate how human-machine cooperation is achievable, they also illustrate fundamental challenges that must be addressed and overcome in the development of machines that can effectively cooperate with people.
Jacob Crandall is an Associate Professor in the Computer Science Department at Brigham Young University (BYU) in Provo, Utah, USA. Prior to joining BYU in 2016, he was with the Masdar Institute of Science and Technology, a graduate-research university in Abu Dhabi, UAE that was formed in collaboration with the Massachusetts Institute of Technology (MIT). Crandall received the B.S., M.S. and Ph.D. degrees in Computer Science from BYU in 2001, 2004 and 2006, respectively. From 2006 to 2008 he was a Postdoctoral Associate in the Department of Aeronautics and Astronautics at MIT. His background and research interests emphasise human–machine cooperation, robotics, machine learning and game theory.
Event memo (PDF)