Abstract
In this work, we define a Fair-Distributive ranking system based on Equality of Opportunity theory and fair division models. The aim is to determine the ranking order of a set of candidates maximizing utility bound to a fairness constraint. Our model extends the notion of protected attributes to a pool of individual’s circumstances, which determine the membership to a specific type. The contribution of this paper are i) a Fair-Distributive Ranking System based on criteria derived from distributive justice theory and its applications in both economic and social sciences; ii) a class of fairness metrics for ranking systems based on the Equality of Opportunity theory. We test our approach on an hypothetical scenario of a selection university process. A follow up analysis shows that the Fair-Distributive Ranking System preserves an equal exposure level for both minority and majority groups, providing a minimal system utility cost.
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Beretta, E., Vetrò, A., Lepri, B., De Martin, J.C. (2021). Equality of Opportunity in Ranking: A Fair-Distributive Model. In: Boratto, L., Faralli, S., Marras, M., Stilo, G. (eds) Advances in Bias and Fairness in Information Retrieval. BIAS 2021. Communications in Computer and Information Science, vol 1418. Springer, Cham. https://doi.org/10.1007/978-3-030-78818-6_6
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