Print Email Facebook Twitter Value-Based Hybrid Intelligence Title Value-Based Hybrid Intelligence Author Sayin, Burcu (Università di Trento) Yang, J. (TU Delft Web Information Systems) Passerini, Andrea (Università di Trento) Casati, Fabio (ServiceNow) Contributor Lukowicz, Paul (editor) Mayer, Sven (editor) Koch, Janin (editor) Shawe-Taylor, John (editor) Tiddi, Ilaria (editor) Date 2023 Abstract In this paper, we argue that the way we have been training and evaluating ML models has largely forgotten the fact that they are applied in an organization or societal context as they provide value to people. We show that with this perspective we fundamentally change how we evaluate and select machine learning models. Subject hybrid intelligencemachine learningselective classification To reference this document use: http://resolver.tudelft.nl/uuid:e8b19053-bdaf-45dd-9d4c-a45c56c87db1 DOI https://doi.org/10.3233/FAIA230100 Publisher IOS Press ISBN 9781643683942 Source HHAI 2023: Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence Event 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023, 2023-06-26 → 2023-06-30, Munich, Germany Series Frontiers in Artificial Intelligence and Applications, 0922-6389, 368 Part of collection Institutional Repository Document type conference paper Rights © 2023 Burcu Sayin, J. Yang, Andrea Passerini, Fabio Casati Files PDF FAIA_368_FAIA230100.pdf 289.99 KB Close viewer /islandora/object/uuid:e8b19053-bdaf-45dd-9d4c-a45c56c87db1/datastream/OBJ/view