Value-Based Hybrid Intelligence

Conference paper (2023)

Authors

Burcu Sayin Università di Trento
J. Yang Web Information Systems - EEMCS
Andrea Passerini Università di Trento
Fabio Casati ServiceNow
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2023 Burcu Sayin, J. Yang, Andrea Passerini, Fabio Casati
DOI
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https://doi.org/10.3233/FAIA230100
Machine learning Hybrid intelligence Selective classification
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Published Date

2023

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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.