How do we learn to work with intelligent machines? | Matt Beane
The path to skill around the globe has been the same for thousands of years: train under an expert and take on small, easy tasks before progressing to riskier, harder ones. But right now, we're handling AI in a way that blocks that path -- and sacrificing learning in our quest for productivity, says organizational…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from TED Talks Daily
See all episodes →
"Bridge Over Troubled Water" — like you've never heard it before | MAS Vocal
The hidden power of sad songs and rainy days | Susan Cain and Min Kym
How satellites and AI can protect the planet | Robbie Schingler
Similar episodes from other shows
More like TED Talks Daily →
Jobs After AI: Futurist Ian Beacraft on What Happens When AI Does All the Work
AI “de-skilling”: What happens when we offload our work to AI? With Brooke Macnamara, PhD
Andrew Ng on building an AI workforce
Does Work Still Matter in the Age of AI?
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.