Value-Based Hybrid Intelligence

Conference Paper (2023)
Author(s)

Burcu Sayin (Università degli Studi di Trento)

Jie Yang (TU Delft - Web Information Systems)

Andrea Passerini (Università degli Studi di Trento)

Fabio Casati (ServiceNow)

Research Group
Web Information Systems
Copyright
© 2023 Burcu Sayin, J. Yang, Andrea Passerini, Fabio Casati
DOI related publication
https://doi.org/10.3233/FAIA230100
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Burcu Sayin, J. Yang, Andrea Passerini, Fabio Casati
Research Group
Web Information Systems
Pages (from-to)
366-370
ISBN (electronic)
9781643683942
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.