Berkeley Talks cover image

The transformative potential of AI in academia

Berkeley Talks

00:00

The Tension Between Data Bias and Algorithm Training

This chapter explores the challenge of using biased historical data to train machine learning algorithms and the potential for embedded discrimination. It emphasizes the importance of data curation and finding unbiased data for training algorithms. The chapter also discusses the need for social science-oriented solutions to prevent the proliferation of biased algorithms.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app