{"type":"ScholarlyArticle","title":"Pushing the Limits of Fairness in Algorithmic Decision-Making","authors":[{"name":"Nisarg Shah","slug":"nisarg-shah","given":"Nisarg","family":"Shah","affiliation":"University of Toronto"}],"abstract":"Designing provably fair decision-making algorithms is a task of growing interest and importance. In this article, I argue that preference-based notions of fairness proposed decades ago in the economics literature and subsequently explored in-depth within computer science (specifically, within the field of computational social choice) are aptly suited for a wide range of modern decision-making systems, from conference peer review to recommender systems to participatory budgeting.","doi":"10.24963/ijcai.2023/806","url":"https://ijcai.org/proceedings/2023/806","pdf":"https://ijcai.org/proceedings/2023/0806.pdf","markdown":"https://ijcai.org/proceedings/2023/806.md","bibtex":"https://ijcai.org/proceedings/2023/bibtex/806","volume":{"slug":"2023","title":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2023","url":"https://ijcai.org/proceedings/2023/","year":2023,"location":"Macao, SAR","dates":"19-25 August 2023","editors":"Edith Elkind","isbn":"978-1-956792-03-4","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2023"},"section":"Early Career","track":"Early Career","number":806,"pages":{"first":7051,"last":7056},"keywords":["EC: Algorithmic Fairness"],"videos":[],"references":[{"position":1,"raw":"[Akrami et al., 2023] Hannaneh Akrami, Noga Alon, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, and Ruta Mehta. 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