Fairness in Ranking Under Disparate Uncertainty
Association for Computing Machinery (ACM) via YouTube
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Learn about crucial fairness considerations in ranking systems when dealing with disparate uncertainty in this 21-minute ACM conference talk. Explore how uncertainty affects different groups in ranking algorithms and discover methods for maintaining fairness while optimizing search and ranking systems. Delve into research findings presented by Richa Rastogi and Thorsten Joachims that address the challenges of implementing equitable ranking solutions when uncertainty levels vary across different population segments.
Syllabus
Fairness in Ranking under Disparate Uncertainty
Taught by
Association for Computing Machinery (ACM)