How Robots and AI Are Changing Job Training

HBR IdeaCast

Harvard Business Review

Leadership, Entrepreneurship, Communication, Marketing, Business, Business/management, Management, Business/marketing, Business/entrepreneurship, Innovation, Hbr, Strategy, Economics, Finance, Teams, Harvard

4.4 • 1.9K Ratings

🗓️ 6 August 2019

⏱️ 25 minutes

🔗️ Recording | iTunes | RSS

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Summary

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.”

Transcript

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0:00.0	Kurt Nick is here from Ideacast. I want to tell you about the Big Take
0:05.1	podcast from Bloomberg News. Each weekday they bring you one important story
0:10.0	from their global newsroom like how AI will upend your life and why China's
0:15.4	targeting the US dollar. Check out the big take from Bloomberg wherever you listen. Welcome to the HBR Ideacaste from Harvard Business Review. I'm Kurt Nickish.
0:43.0	Like it or not, people increasingly do their jobs with robots, machine learning, or artificial intelligence.
0:55.8	These developing technologies are already destroying some jobs and changing how many others are performed. But it's not just work that's changing, it's
1:05.0	also how people train for their work. New research shows that how people learn to do
1:10.1	their jobs is also being disrupted.
1:13.0	Our guest today has studied surgery, one of the first places where robot assistance is changing
1:18.7	the actual job.
1:20.3	Basically, he says robots give surgeons more hands to work with, and that means surgeons don't have to hand off some of their work to trainees like they used to.
1:30.0	And our guest says this trend is showing up in all kinds of industries, including finance and education.
1:36.0	Matt Bean is an assistant professor at the University of California, Santa Barbara.
1:41.0	He also wrote the HBR article Learning to Work with Intelligent Machines, and he joins me now.
1:46.4	Matt, welcome.
1:47.4	Delighted to be here, Kurt. If surgery is at bellwether for the way training can change in many many other workplaces down the road
2:06.1	if that's where the future is here now. Just bring us up to speed like how was
2:10.5	surgery training done up until you had robots in the OR?
2:15.0	Right. So the maximum in surgery is C1, do one, teach one. That's the understood local phrase in the surgical community for what other folks
2:27.4	know as apprenticeship, training, coaching, on the job learning, on the job training, there's
2:32.2	lots of names you watch say
2:34.9	you're you're curt your training to be a urologist and to do your logical surgery
	...

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