This is an episode of Fixable, another podcast from the TED Audio Collective. This week, Anne and Frances dive into their area of expertise: trust. Frances recounts the time when she was brought in to help Uber fix their huge trust breakdown. Using Uber as a case study, they explain the three pillars of trust — authenticity, empathy and logic — and actionable solutions to strengthen each leg when they’re on shaky ground.
Can AI catch criminals at sea? | Dyhia Belhabib
The TED AI Show: What really went down at OpenAI and the future of regulation w/ Helen Toner
The AI-powered tools supercharging your imagination | Bilawal Sidhu
The TED AI Show: Is AI destroying our sense of reality? with Sam Gregory
Why don't we have better robots yet? | Ken Goldberg
AI and the paradox of self-replacing workers | Madison Mohns
How wireless energy from space could power everything | Ali Hajimiri
How AI and democracy can fix each other | Divya Siddarth
How clicking a single link can cost millions | Ryan Pullen
The TED AI Show: Coming May 21st
Can nanoparticles help fight hunger? | Christy L. Haynes
What's the point of digital fashion? | Karinna Grant
The next grand challenge for AI | Jim Fan
How Bill Gates spends $9 billion a year - The TED Interview
"How do I make the most of my time at my soulless job?" - Fixable
Why AI is incredibly smart -- and shockingly stupid | Yejin Choi
DeepMind's Demis Hassabis on the future of AI | The TED Interview
Advice for leaders on creating a culture of belonging | Melonie D. Parker
Your creative superpowers can help protect democracy | Sofia Ongele
The exciting, perilous journey toward AGI | Ilya Sutskever
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