“I think we’re going to see a lot of new applications for AI, and we’re going to need to know when it works well,” Watson said. He thinks studying how machines and humans work together will be more important as AI develops more fully. Rex Fuqua Distinguished Chair for Internet Strategy, is Schecter’s co-author on some AI teams research. So, how do we make people trust robots? How do we get people to trust AI?” “You have to be willing to trust it in life and death situations for them to be effective. “We don’t want people to hate the robot, resent it, or ignore it,” Schecter said. “It’s flying above you like a pet bird, surveilling in front of you and providing voice feedback like, ‘I recommend taking this route.’”īut those bots are only trustworthy if they are not getting soldiers shot or leading them into danger. “Or imagine a drone that isn’t remote-controlled,” he said. While visions of military robots can dive into “Terminator” territory, Schecter explained most bots and systems in development are meant to transfer heavy loads or provide advanced scouting - a walking platform carrying ammunition and water, so soldiers aren’t burdened with 80 pounds of gear. “There’s obviously a desire to have people not react poorly to that.” “In the field for the Army, they want to have a robot or AI not controlled by a human that is performing a function that will offload some burden from humans,” Schecter said. When are we likely to trust something? What are the mechanisms that induce trust? How do we make them cooperate? If the robot screws up, can you forgive it?” - Aaron Schecter My research is less concerned with the design and the elements of how the robot works it’s more the psychological side of it. While AI in the home can help order groceries, AI on the battlefield offers a much riskier set of circumstances - team cohesion and trust can be a matter of life and death. Army to study the interplay between human and robot teams. military.Īaron Schecter, an assistant professor in the Terry College’s department of management information systems, received two grants – worth nearly $2 million – from the U.S. One University of Georgia professor is seeking to bridge that gap with assistance from the U.S. In the workspace, people and robots don’t always get along.īut as more artificial intelligence systems and robots aid human workers, building trust between them is key to getting the job done. Blame it on HAL 9000, Clippy’s constant cheerful interruptions, or any navigational system leading delivery drivers to dead-end destinations.
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