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A new University of Washington study suggests that AI could learn cultural values by observing human behavior, similar to how children learn by watching and interacting with adults. Researchers had AI systems observe two cultural groups playing a video game. The AI systems were able to learn each group’s degree of altruism and apply this to a new situation.

Using a mathematical framework with roots in artificial intelligence and robotics, UW researchers were able to uncover the process of how a person makes choices in groups. And, they also found they were able to predict a person’s choice more often than more traditional descriptive methods.

For the first time in humans, UW Center for Sensorimotor Neural Engineering (CSNE) researchers have used direct stimulation of the human brain surface to provide basic sensory feedback through artificial electrical signals, enabling patients to control movement while opening and closing their hand.

University of Washington researchers have demonstrated that when humans use brain-computer interfaces, the brain behaves much like it does when completing simple motor skills such as kicking a ball or waving. Learning to control a robotic arm or a prosthetic limb could become second nature for people who are paralyzed.