Fairness in Ranking under Disparate Uncertainty
Why it's on BrighterTube
Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidenceStudies how ranking algorithms achieve fairness when uncertainty differs across groups. Technical approach to equitable ranking under heterogeneous information.
What you'll learn
A 21-minute video from Association for Computing Machinery (ACM): “Fairness in Ranking under Disparate Uncertainty”.
Video by Association for Computing Machinery (ACM), played through YouTube's embedded player.
Part of ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'24)