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How Fair Is IS Research?

Dolata, Mateusz; Schwabe, Gerhard (2021). How Fair Is IS Research? In: Aier, Stephan; Rohner, Peter; Schelp, Joachim. Engineering the Transformation of the Enterprise. Cham: Springer, 37-49.

Abstract

While both information systems and machine learning are not neutral, the identification of discrimination is more difficult if a system learns from data and discrimination can be introduced at several stages. Therefore, this article investigates if IS Research has taken up with this topic. A literature analysis is conducted and its discussion shows that technology, organization, and human aspects have to be considered, making it a topic not only for data scientist or computer scientist, but for information systems researchers as well.

Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scope:Discipline-based scholarship (basic research)
Language:English
Date:2021
Deposited On:06 Sep 2021 09:34
Last Modified:13 Mar 2025 04:42
Publisher:Springer
Number:62
ISBN:978-3-030-84654-1
OA Status:Green
Publisher DOI:https://doi.org/10.1007/978-3-030-84655-8_3
Official URL:https://link.springer.com/chapter/10.1007/978-3-030-84655-8_3
Other Identification Number:merlin-id:21484

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