Enhancing Human Capability with Intelligent Machine Teammates

Explore the future of human-machine collaboration in this thought-provoking lecture by Julie Shah, Associate Dean of Social and Ethical Responsibilities of Computing at MIT. Delve into cutting-edge research on blending human and machine decision-making strengths, focusing on computational models that enable machines to infer human mental states for more flexible collaboration. Discover how intelligent machine teammates have significantly improved performance in military, healthcare, and manufacturing tasks. Learn about ongoing efforts at MIT's Schwarzman College of Computing to advance Social and Ethical Responsibilities of Computing in teaching, research, and implementation. Gain insights into Shah's work on expanding human cognitive models for AI and their applications in various industries. This one-hour Winter 2021 Robotics Colloquium, hosted by the Paul G. Allen School, offers a comprehensive look at the intersection of robotics, human-machine interaction, and ethical computing.