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.
Value-Based Hybrid Intelligence / Sayin, Burcu; Yang, Jie; Passerini, Andrea; Casati, Fabio. - ELETTRONICO. - 368:(2023), pp. 366-370. (Intervento presentato al convegno 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023 tenutosi a Munich, Germany nel June 26 - 30 2023) [10.3233/FAIA230100].
Value-Based Hybrid Intelligence
Sayin, Burcu
Primo
;Passerini, Andrea;Casati, Fabio
2023-01-01
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.| File | Dimensione | Formato | |
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Descrizione: Value-based hybrid intelligence
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