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Published on Oct 21, 2015
Humans versus robots; man verses his own creation. It’s one of the most well-explored power struggles we know of. And as robots increasingly become part of our daily lives, it’s one that is only gaining ground in our social consciousness. We’ve heard both sides of the debate, from those claiming robots can help us to others saying they’ll lead to our own demise. But what if the conversation didn’t rely on this “us versus them” binary? How could, for example, people and robots work together as a team to solve problems? The collaboration between people and robots can be improved upon, but the first step is moving away from making this an either/or choice. To do this, we need to be more comfortable with the machines we’d work with – we need to trust that they’ll do the right thing. We need build better machines that can reverse engineer the human mind, understand our behavior, and jump in seamlessly as a team member to shore up our weaknesses.
Julie Shah is an Associate Professor in the Department of Aeronautics and Astronautics at MIT and leads the Interactive Robotics Group of the Computer Science and Artificial Intelligence Laboratory. Shah received her SB and SM from the Department of Aeronautics and Astronautics at MIT, and her PhD in Autonomous Systems from MIT. Before joining the faculty, she worked at Boeing Research and Technology on robotics applications for aerospace manufacturing. She has developed innovative methods for enabling fluid human-robot teamwork in time-critical, safety-critical domains, ranging from manufacturing to surgery to space exploration. Her group draws on expertise in artificial intelligence, human factors, and systems engineering to develop interactive robots that emulate the qualities of effective human team members to improve the efficiency of human-robot teamwork.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx