Print Email Facebook Twitter Disentangling Fairness Perceptions in Algorithmic Decision-Making Title Disentangling Fairness Perceptions in Algorithmic Decision-Making: The Effects of Explanations, Human Oversight, and Contestability Author Yurrita Semperena, M. (TU Delft Human Information Communication Design) Draws, T.A. (TU Delft Web Information Systems) Balayn, A.M.A. (TU Delft Organisation & Governance; TU Delft Web Information Systems) Murray-Rust, D.S. (TU Delft Human Information Communication Design) Tintarev, N. (Universiteit Maastricht) Bozzon, A. (TU Delft Human-Centred Artificial Intelligence) Date 2023 Abstract Recent research claims that information cues and system attributes of algorithmic decision-making processes affect decision subjects' fairness perceptions. However, little is still known about how these factors interact. This paper presents a user study (N = 267) investigating the individual and combined effects of explanations, human oversight, and contestability on informational and procedural fairness perceptions for high- and low-stakes decisions in a loan approval scenario. We find that explanations and contestability contribute to informational and procedural fairness perceptions, respectively, but we find no evidence for an effect of human oversight. Our results further show that both informational and procedural fairness perceptions contribute positively to overall fairness perceptions but we do not find an interaction effect between them. A qualitative analysis exposes tensions between information overload and understanding, human involvement and timely decision-making, and accounting for personal circumstances while maintaining procedural consistency. Our results have important design implications for algorithmic decision-making processes that meet decision subjects' standards of justice. Subject algorithmic decision-makingcontestabilityexplanationsfairness perceptionshuman oversight To reference this document use: http://resolver.tudelft.nl/uuid:51f52d91-9f9d-4686-b2d7-ffaf5e076955 DOI https://doi.org/10.1145/3544548.3581161 Publisher Association for Computing Machinery (ACM) ISBN 978-1-4503-9421-5 Source CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Event 2023 CHI Conference on Human Factors in Computing Systems, 2023-04-23 → 2023-04-28, Congress Center Hamburg (CCH), Hamburg, Germany Series Conference on Human Factors in Computing Systems - Proceedings Part of collection Institutional Repository Document type conference paper Rights © 2023 M. Yurrita Semperena, T.A. Draws, A.M.A. Balayn, D.S. Murray-Rust, N. Tintarev, A. Bozzon Files PDF 3544548.3581161.pdf 2.42 MB Close viewer /islandora/object/uuid:51f52d91-9f9d-4686-b2d7-ffaf5e076955/datastream/OBJ/view