The Impact of Transparency in AI Systems on Users’ Data-Sharing Intentions: A Scenario-Based Experiment

Rosenberger J, Kuhlemann S, Tiefenbeck V, Kraus M, Zschech P (2024)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Book Volume: 38

Conference Proceedings Title: Wirtschaftsinformatik 2024 Proceedings

Event location: Würzburg

URI: https://aisel.aisnet.org/wi2024/38/

Authors with CRIS profile

Julian Rosenberger Juniorprofessur für Data Analytics Sophie Kuhlemann Juniorprofessur für Digitale Transformation Verena Tiefenbeck Juniorprofessur für Digitale Transformation Mathias Kraus Juniorprofessur für Data Analytics Patrick Zschech Assistant Professorship for Intelligent Information Systems

How to cite

APA:

Rosenberger, J., Kuhlemann, S., Tiefenbeck, V., Kraus, M., & Zschech, P. (2024). The Impact of Transparency in AI Systems on Users’ Data-Sharing Intentions: A Scenario-Based Experiment. In Wirtschaftsinformatik 2024 Proceedings. Würzburg.

MLA:

Rosenberger, Julian, et al. "The Impact of Transparency in AI Systems on Users’ Data-Sharing Intentions: A Scenario-Based Experiment." Proceedings of the 19. Internationale Tagung Wirtschaftsinformatik, Würzburg 2024.

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