Publication: How Fair Is IS Research?
How Fair Is IS Research?
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Dolata, M., & Schwabe, G. (2021). How Fair Is IS Research? In S. Aier, P. Rohner, & J. Schelp (Eds.), Engineering the Transformation of the Enterprise (No. 62; pp. 37–49). Springer. https://doi.org/10.1007/978-3-030-84655-8_3
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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.
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Dolata, M., & Schwabe, G. (2021). How Fair Is IS Research? In S. Aier, P. Rohner, & J. Schelp (Eds.), Engineering the Transformation of the Enterprise (No. 62; pp. 37–49). Springer. https://doi.org/10.1007/978-3-030-84655-8_3
