Social Choice for Fair Recommendations
Podcast: Data SkepticPublished On: Mon Jul 27 2026
Description: Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social choice theory can help balance the needs of users, creators, and society. The conversation explores the future of recommendation algorithms and why fairness is a far more complex challenge than it first appears.
The note was deleted
The note was saved
Your message was sent