Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
2022-04-18 · 52 min · episode 568 · 16 entities
Asserted relationships
-
→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
-
0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
-
0.50
evidence rules-v4
director of DAIR
-
0.50
evidence rules-v4
director of DAIR
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed category: News
-
0.40
evidence rules-v4
Feed category: Tech News
-
0.40
evidence rules-v4
Feed author/publisher: TWIML
Entities found in this episode
companys 7
-
0.70
evidence rules-v4
Feed author/publisher: TWIML
-
0.50
evidence rules-v4
Feed category: Technology
-
0.50
evidence rules-v4
director of DAIR
-
0.50
evidence rules-v4
director of DAIR
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed author/publisher: TWIML
-
0.35
evidence rules-v4
DAIR
concepts 5
-
0.50
evidence rules-v4
Feed category: Science
-
0.50
evidence rules-v4
Feed category: Tech News
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: News
-
0.40
evidence rules-v4
Feed category: Tech News
persons 3
-
0.72
evidence rules-v4
Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
-
0.70
evidence rules-v4
Feed author/publisher: Sam Charrington
-
0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
podcasts 1
-
appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
Episode description as stored
Today we’re joined by friend of the show Timnit Gebru, the founder and executive director of DAIR, the Distributed Artificial Intelligence Research Institute. In our conversation with Timnit, we discuss her journey to create DAIR, their goals and some of the challenges shes faced along the way. We start is the obvious place, Timnit being “resignated” from Google after writing and publishing a paper detailing the dangers of large language models, the fallout from that paper and her firing, and the eventual founding of DAIR. We discuss the importance of the “distributed” nature of the institute, how they’re going about figuring out what is in scope and out of scope for the institute’s research charter, and what building an institution means to her. We also explore the importance of independent alternatives to traditional research structures, if we should be pessimistic about the impact of internal ethics and responsible AI teams in industry due to the overwhelming power they wield, examples she looks to of what not to do when building out the institute, and much much more!
The complete show notes for this episode can be found at twimlai.com/go/568