
Sign up to save your podcasts
Or


As technology gets smarter and encroaches on more and more jobs, we have to face a question: how do we differentiate the work that humans should do from the work machines should do? In other words, no matter how smart the machines get, what will humans always do better?
In this talk, Kai Fu Lee, technology investor and author of AI Superpowers, offers a surprising answer: love. And proposes nothing short of a redesign of the labor market to prioritize jobs that require compassion. But why wait? After the talk, Modupe explores how we can bring more compassion to the workplace now.
(FYI that lovable robot in the introduction? That’s Kismet, invented by Cynthia Breazeal, born at the MIT Media Lab. For more on sociable robots, check out her work at https://cynthiabreazeal.media.mit.edu/)
Hosted on Acast. See acast.com/privacy for more information.
By TED4
10671,067 ratings
As technology gets smarter and encroaches on more and more jobs, we have to face a question: how do we differentiate the work that humans should do from the work machines should do? In other words, no matter how smart the machines get, what will humans always do better?
In this talk, Kai Fu Lee, technology investor and author of AI Superpowers, offers a surprising answer: love. And proposes nothing short of a redesign of the labor market to prioritize jobs that require compassion. But why wait? After the talk, Modupe explores how we can bring more compassion to the workplace now.
(FYI that lovable robot in the introduction? That’s Kismet, invented by Cynthia Breazeal, born at the MIT Media Lab. For more on sociable robots, check out her work at https://cynthiabreazeal.media.mit.edu/)
Hosted on Acast. See acast.com/privacy for more information.

10,927 Listeners

519 Listeners

406 Listeners

1,237 Listeners

487 Listeners

410 Listeners

1,763 Listeners

145 Listeners

1,408 Listeners

402 Listeners

1,415 Listeners

9,113 Listeners

1,247 Listeners

583 Listeners

1,492 Listeners

837 Listeners

155 Listeners

93 Listeners

1,396 Listeners

1,467 Listeners

291 Listeners

81 Listeners

84 Listeners

219 Listeners

170 Listeners

154 Listeners

43 Listeners

47 Listeners

17 Listeners

5 Listeners