AI, Peer Review, and Incentives
Do we trust tech this time? Or should we take a harder look before we leap?
This week for our “Disrupted Science” discussion, we tackle AI, peer-review, and a host of other issues raised by where AI and Big Data came from, tech’s practices, and more. We also discuss yesterday’s interview with Anita Say Chan, author of Predatory Data: Eugenics in Big Tech and Our Fight for An Independent Future. Chan is an Associate Professor in the School of Information Sciences and Department of Media and Cinema Studies at the University of Illinois, Urbana-Champaign.
The discoveries this week are related to your olfactory senses . . .
Please let us know what you think!