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Titel:

Rethinking People Analytics With Inverse Transparency by Design

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Zieglmeier, Valentin; Pretschner, Alexander
Abstract:
Employees work in increasingly digital environments that enable advanced analytics. Yet, they lack oversight over the systems that process their data. That means that potential analysis errors or hidden biases are hard to uncover. Recent data protection legislation tries to tackle these issues, but it is inadequate. It does not prevent data misusage while at the same time stifling sensible use cases for data. We think the conflict between data protection and increasingly data-driven systems s...     »
Zeitschriftentitel:
Proceedings of the ACM on Human-Computer Interaction
Jahr:
2023
Band / Volume:
7
Heft / Issue:
CSCW2
Seitenangaben Beitrag:
292:1–29
Volltext / DOI:
doi:10.1145/3610083
WWW:
arXiv version
Verlag / Institution:
ACM
Eingereicht (bei Zeitschrift):
13.07.2022
Angenommen (von Zeitschrift):
16.03.2023
Publikationsdatum:
04.10.2023
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