HBR IdeaCast How Robots and AI Are Changing Job Training
Aug 6, 2019
Matt Beane, an assistant professor at UC Santa Barbara, discusses how robots and AI are reshaping job training. He reveals that surgical training is evolving with robotic technology, leading to new learning challenges for young physicians. Beane emphasizes the rise of 'shadow learning,' where trainees adapt and find innovative ways to navigate institutional constraints. The conversation also highlights how these changes impact various industries, urging a shift toward modern apprenticeship models that harness technology for more effective professional development.
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Traditional Surgical Training
- Surgical training traditionally followed an apprenticeship model ("see one, do one, teach one").
- Trainees gradually took on more responsibility as they gained experience, with senior surgeons providing support and assessment.
Robots Disrupt Surgical Training
- Robots in surgery have made trainees' involvement optional, disrupting the traditional learning process.
- Senior surgeons no longer need to hand off tasks, reducing trainees' hands-on experience.
A Broader Trend
- The challenges in surgical training with robots aren't isolated incidents.
- Similar issues are emerging across various industries as technology reshapes work and training.