U-M Researchers Discover AI Thinks Like Us
ANN ARBOR— Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the corner is about to cross. Or consider an investment algorithm trading stocks—it needs to anticipate how human investors will react to news before making a move. In both cases, machines must do more than









