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Contribution Details
| Type | Book Chapter |
| Scope | Discipline-based scholarship |
| Title | How Fair Is IS Research? |
| Organization Unit | |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
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| Booktitle | Engineering the Transformation of the Enterprise |
| ISBN | 978-3-030-84654-1 |
| Number | 62 |
| Place of Publication | Cham |
| Publisher | Springer |
| Page Range | 37 - 49 |
| Date | 2021 |
| Abstract Text | 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. |
| Official URL | https://link.springer.com/chapter/10.1007/978-3-030-84655-8_3 |
| Digital Object Identifier | 10.1007/978-3-030-84655-8_3 |
| Other Identification Number | merlin-id:21484 |
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