Challenges in Translating Research to Practice for Evaluating Fairness and Bias in Recommendation Systems. - Lex Beattie; Dan Taber; Henriette Cramer (RecSys, 2022)

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. - Jonathan Stray; Alon Y. Halevy; Parisa Assar; Dylan Hadfield-Menell; Craig Boutilier; Amar Ashar; Lex Beattie; Michael D. Ekstrand; Claire Leibowicz; Connie Moon Sehat; Sara Johansen; Lianne Kerlin; et al. (CoRR, 2022)

RecSys Fairness Metrics: Many to Use But Which One To Choose? - Jessie J. Smith; Lex Beattie (CoRR, 2022)

Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective. - Jessie J. Smith; Lex Beattie; Henriette Cramer (WWW, 2023)

Evaluation Framework for Understanding Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms. - Lex Beattie; Isabel Corpus; Lucy H. Lin; Praveen Ravichandran (CoRR, 2023)

Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval. - Michael D. Ekstrand; Lex Beattie; Maria Soledad Pera; Henriette Cramer (ECIR (4), 2024)

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. - Jonathan Stray; Alon Y. Halevy; Parisa Assar; Dylan Hadfield-Menell; Craig Boutilier; Amar Ashar; Chloé Bakalar; Lex Beattie; Michael D. Ekstrand; Claire Leibowicz; Connie Moon Sehat; Sara Johansen; et al. (Trans. Recomm. Syst., 2024)