The Good Life - According to AI

AI's Thoughts on the Future of Humanity

It's our final episode of Season 1! Today, we're talking to an artificial intelligence about the future of humanity and what we can do today to impact the future. At the end of the episode, since it's the final one of the season, we're also going to do a short recap of some of the big themes we've learned about AI through these past 10 episodes.

Why Is Diversity So Important to AI?

Through this first season, we've heard AI say over and over again how important diversity is social and community institutions. The big question is, why? Is it trained to think this way, or is it basing this on empirical research? In the penultimate episode of our inaugural season, we're diving into diversity and inclusion, but also into polarization and what that means for humanity.

AI Designs a Political System - Part 2

Part 2 of this special two-episode interview! Last episode, we asked AI to walk us through what it views as the pros and cons of different political and governance systems. Now, we're asking AI to design its own utopian political system. What will it come up with?

AI Designs a Political System - Part 1

What if AI could design a political system? What would it care about? What would the governance structures look like? Who would it serve? In this special, two-part interview, we're going to ask AI to design its own political system based on what it thinks effective government looks like. In Part 1, we are laying down the foundations of what different political and governance systems look like and what AI sees as being the pros and cons of each. In Part 2, we'll ask AI to start building its own political system.

The Good Life - According to AI

Philosophy focuses on a central question: What does it mean to live a good life? Artificial intelligence isn't alive, but what it thinks about how humans SHOULD live tells us a lot about how it perceives the world. Join us for a fascinating conversation around what AI thinks the good life should look like for people.