Evaluation Framework for Understanding Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms

no code implementations • 30 Oct 2023 • Lex Beattie, Isabel Corpus, Lucy H. Lin, Praveen Ravichandran

Attribute association bias (AAB) occurs when sensitive attributes become semantically captured or entangled in the trained recommendation latent space.

Attribute Recommendation Systems +1

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

no code implementations • 20 Jul 2022 • Jonathan Stray, Alon Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Lex Beattie, Michael Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan

We collect a set of values that seem most relevant to recommender systems operating across different domains, then examine them from the perspectives of current industry practice, measurement, product design, and policy approaches.

Causal Inference Ethics +1