- Ruhr-Universität Bochum

Daniel Eisenhardt, M.Sc.

Wasserstr. 221 Raum: 4/30

Telefon: +49 (0) 234 / 32 – 27926
E-Mail: daniel.eisenhardt@ruhr-uni-bochum.de

Sprechzeiten: Nach Vereinbarung

Forschungsfokus

  • Explainable Artificial Intelligence

Publikationen

  • Meske, C., Eisenhardt, D., Šešelja, D., Straßer, C., and Schneider, J. (2024). Mitigating Bias In Academic Publishing: Towards Responsible (Gen)Ai-Augmentation In Peer-Review Processes. MCIS 2024 Proceedings. Link
  • Schneider, J., Eisenhardt, D., Utama, C., and Meske, C. (2023). Impact of Data Collection on ML Models: Analyzing Differences of Biases Between Low- vs. High-Skilled Annotators. Wirtschaftsinformatik (WI) 2023 Proceedings. 15 Link
  • Bunde, E., Eisenhardt, D., Sonntag, D., Profitlich, H. J., and Meske, C. (2023). Giving DIAnA More TIME – Guidance for the Design of XAI-Based Medical Decision Support Systems. International Conference on Design Science Research in Information Systems and Technology (DESRIST), 2023, pp. 107-122. Link
  • Breitenbach, J., Eisenhardt, D., Rieg, T., Baumgartl, H., Ulrich, P., Timm, I., and Buettner, R. (2022). Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS 2022 Proceedings. Link