What’s next for data
Season 2, Episode 8
September 15, 2023
Season 1, Episode 0
00:42:08
Timnit Gebru is a co-author of one of the most influential research papers on AI from this decade, which coined the term “stochastic parrots” to describe large language models. Following her very public departure from Google in 2020, Gebru founded the Distributed AI Research (DAIR) Institute, an organization that describes itself as doing independent, community-rooted work, free from the pervasive influence of Big Tech. She’s now DAIR’s executive director. And recently, she was selected as one of TIME’s 100 Most Influential People in AI — like several other guests you hear from in season one of this show.
Gebru sat down with host Raffi Krikorian for a wide-ranging and deep conversation about AI, touching on things like the obfuscation around its capabilities, what Big Tech hopes we don’t pay attention to, and the importance of imagining alternative possible futures.
Where we break down transformational technology and ask how it can be developed and deployed with society’s best interests at heart.
All EpisodesWhat’s next for data
Season 2, Episode 8
The India episode — tech and data in the Global South
Season 2, Episode 7
Who’s watching the kids?
Season 2, Episode 6
Policed by our data
Season 2, Episode 5
Digital surveillance and reproductive rights
Season 2, Episode 4
Your data, your vote
Season 2, Episode 3
How to save social media
Season 2, Episode 2
How your behavior became the world’s biggest resource
Season 2, Episode 1
Season Two is all about your data
Season 2, Episode 0
AI and Accountability: Who is responsible for managing AI?
Season 1, Episode 6
On Strike! How will AI impact the economy, culture, and the future of creativity?
Season 1, Episode 5
Education and AI: What does AI have to teach us?
Season 1, Episode 4
Part 2 - Rules of the Road: What might regulating AI look like?
Season 1, Episode 3
Part 1: Rules of the Road: Who has the power to regulate AI?
Season 1, Episode 2
AI is at a crossroads. How did we get here?
Season 1, Episode 1