

The transformative potential of AI in academia
Dec 15, 2023
A panel of UC Berkeley scholars discusses the transformative potential of AI in academia, highlighting challenges of bias and data curation. They explore AI's impact in fields like psychology, astronomy, and environmentalism. The episode also tackles the consequences of divesting from education and the need for ethical AI and societal restructuring. The panel showcases the excitement in academia to investigate failure points and boundary conditions of AI models.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Introduction
00:00 • 2min
Transformative Potential of AI in Academia
02:29 • 6min
The Transformative Potential of Machine Learning in Astronomy
08:19 • 25min
The Materiality of Digital Objects and Environmental Impact
33:23 • 2min
The Tension Between Data Bias and Algorithm Training
35:37 • 24min
The Impact of Divesting from Education and the Concentration of Power
59:20 • 2min
Restructuring Society for Ethical AI
01:01:48 • 10min