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 HHAI 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.
2023
Frontiers in Artificial Intelligence and Applications
The Netherlands
The Netherlands
9781643683942
9781643683959
Sayin, Burcu; Yang, Jie; Passerini, Andrea; Casati, Fabio
Value-Based Hybrid Intelligence / Sayin, Burcu; Yang, Jie; Passerini, Andrea; Casati, Fabio. - ELETTRONICO. - 368:(2023), pp. 366-370. (Intervento presentato al convegno HHAI tenutosi a Munich, Germany nel June 26 - 30 2023) [10.3233/FAIA230100].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/383690
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