Claire chatted to Matt Beane from the University of California, Santa Barbara about how humans can learn to work with intelligent machines. Matt Beane conducts field research on robots and AI in the workplace, focusing on positive exceptions applicable to the broader world of work. He has published his award-winning research in top management journals and presented on the TED stage. He's been recognized as a Human-Robot Interaction Pioneer and named to the Thinkers50 Radar list. Matt is an assistant professor in the Technology Management department at the University of California, Santa Barbara, and a Digital Fellow with Stanford's Digital Economy Lab and MIT's Initiative on the Digital Economy.

Matt Beane, assistant professor at the University of California, Santa Barbara, finds that robots, machine learning, and AI are changing how we train for our jobs -- not just how we do them. His study shows that robot-assisted surgery is disrupting the traditional learning pathway of younger physicians. He says this trend is emerging in many industries, from finance to law enforcement to education. And he shares lessons from trainees who are successfully working around these new barriers. Beane is the author of the HBR article "Learning to Work with Intelligent Machines." CURT NICKISCH: Welcome to the HBR IdeaCast from Harvard Business Review. Like it or not, people increasingly do their jobs with robots, machine learning, or artificial intelligence. These developing technologies are already destroying some jobs and changing how many others are performed. But it's not just work that's changing.