Can AI agents "feel surprised"? Mutual Information Surprise framework helps autonomous systems respond to the unexpected

A research team from the Georgia Tech H. Milton Stewart School of Industrial and Systems Engineering (ISyE) published a paper in INFORMS Journal on Data Science proposing a new framework called Mutual Information Surprise, which helps AI agents, robots, and autonomous systems identify "meaningful surprises" and judge whether they need to stop and reassess.