Research

The research group Information Systems IV – Digital Platforms & Services shapes a world in which reflection guides the development and use of Artificial Intelligence (AI). To this end, we develop and investigate a wide range of innovative reflective methods and applications that empower users to harness the benefits of technology autonomously while minimizing risks such as “blind” trust.

Together with our partners – including startups, SMEs, large enterprises, public sector institutions, and NGOs – we investigate the practical application of reflective AI and demonstrate the value of our research in addressing pressing challenges in business and society.

Discover our research through a selection of projects and publications.

Interested in this kind of research and projects? Have a look at our current thesis offerings and student job opportunities.

Publications


Too old to find employment? A novel approach to leverage the power of digital peer groups for older unemployed
Broder, H. R.; Förster, M.; Klier, J.; Klier, M.; Sigler, I.
2025. Information Systems and e-Business Management, 23 (4), 999–1038. doi:10.1007/s10257-025-00708-3
Improving the use of public e-services through explainability
Fahr, M. C.; Förster, M.; Moestue, L.; Brasse, J.; Klier, J.; Klier, M.
2025. Journal of Business Economics, 95 (4), 553–586. doi:10.1007/s11573-024-01212-9
Tell me more, tell me more: the impact of explanations on learning from feedback provided by Artificial Intelligence
Förster, M.; Broder, H. R.; Fahr, M. C.; Klier, M.; Fink, L.
2025. European Journal of Information Systems, 34 (2), 323–345. doi:10.1080/0960085X.2024.2404028
Unlocking Empowerment: An Empirical Study on the Impact of Explainable AI in Mental Health Apps
Bottesch, S.; Terhorst, Y.; Förster, M.
2025. Proceedings of the 58th Hawaii International Conference on System Sciences Hilton Waikoloa Village January 7-10, 2025, 1420–1429. doi:10.24251/HICSS.2025.171
A Taxonomy for Uncertainty-Aware Explainable AI
Förster, M.; Hagn, M.; Hambauer, N.; Jaki, P. K. V.; Obermeier, A. A.; Pinski, M.; Schauer, A.; Schiller, A.
2025. Proceedings of the 33rd European Conference on Information Systems (ECIS 2025), Association for Information Systems (AIS)
What’s Past is Prologue: A Novel Method to Explain AI-based Time Series Forecasts
Frost, L.; Förster, M.; Klier, M.
2025. Proceedings of the 33rd European Conference on Information Systems (ECIS 2025), Association for Information Systems (AIS)
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
Rosenberger, J.; Schröppel, P.; Kruschel, S.; Kraus, M.; Zschech, P.; Förster, M.
2025. Proceedings of the 33rd European Conference on Information Systems (ECIS 2025), Association for Information Systems (AIS)
KI-KIStLe - Einsatz von KI zur Steigerung des Lernerfolgs und der AI Literacy
Förster, M.; Frost, L.; Hofer, S.; Klier, M.; Obermeier, A.; Tille, C.; Zimmermann, S.; Züllig, K.
2024, June
Preparing for the future of work: a novel data-driven approach for the identification of future skills
Brasse, J.; Förster, M.; Hühn, P.; Klier, J.; Klier, M.; Moestue, L.
2024. Journal of Business Economics, 94 (3), 467–500. doi:10.1007/s11573-023-01169-1
Exploring XAI Users’ Needs: A Novel Approach to Personalize Explanations Using Contextual Bandits
Schröppel, P.; Förster, M.
2024. Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), Association for Information Systems (AIS)
Building AI Literacy with Experiential Learning – Insights from a Field Experiment in K-12 Education
Förster, M.; Pitz, K.; Wrabel, A.; Klier, M.; Zimmermann, S.
2024. Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI 2024), Association for Information Systems (AIS)
Choose Wisely: Leveraging Explainable AI to Support Reflective Decision-Making
Förster, M.; Schröppel, P.; Schwenke, C.; Fink, L.; Klier, M.
2024. Proceedings of the International Conference on Information Systems (ICIS 2024), Association for Information Systems (AIS)
START Foundation: Coping with Bias and Fairness when Implementing and Using an AI System
Schwenke, C.; Brasse, J.; Förster, M.; Klier, M.
2024. Communications of the Association for Information Systems, 54, 1036–1047. doi:10.17705/1CAIS.05443
Explainable artificial intelligence in information systems: A review of the status quo and future research directions
Brasse, J.; Broder, H. R.; Förster, M.; Klier, M.; Sigler, I.
2023. Electronic Markets, 33, Article no: 26. doi:10.1007/s12525-023-00644-5
User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data
Förster, M.; Hühn, P.; Klier, M.; Kluge, K.
2023. Journal of Decision Systems, 32 (4), 700–731. doi:10.1080/12460125.2022.2119707
Boosting Benefits, Offsetting Obstacles – The Impact of Explanations on AI Users’ Task Performance
Walter, M. C.; Broder, H. R.; Förster, M.
2023. Proceedings of the 18th International Conference on Wirtschaftsinformatik (WI 2023), Association for Information Systems (AIS)
Online-Chat ermöglicht Informationsaustausch und gegenseitige Unterstützung : Neue Wege bei Beratung und Arbeitsvermittlung durch Digitalisierung
Bähr, H.; Broder, H.; Dietz, M.; Förster, M.; Klier, M.
2022. Karlsruher Institut für Technologie (KIT)
Leveraging the Power of Peer Groups for Refugee Integration – A Randomized Field Experiment Comparing Online and Offline Peer Groups
Förster, M.; Klier, J.; Klier, M.; Schäfer-Siebert, K.; Sigler, I.
2022. Business & Information Systems Engineering, 64 (4), 441–457. doi:10.1007/s12599-021-00725-9
Capturing Users’ Reality: A Novel Approach to Generate Coherent Counterfactual Explanations
Förster, M.; Hühn, P.; Klier, M.; Kluge, K.
2021. Proceedings of the 54th Hawaii International Conference on System Sciences, 1274–1283, Hawaii International Conference on System Sciences (HICSS). doi:10.24251/HICSS.2021.155
Future Skills: Welche Kompetenzen für den Standort Baden-Württemberg heute und in Zukunft erfolgskritisch sind
Klier, M.; Heinrich, B.; Klier, J.; Brasse, J.; Förster, M.; Hühn, P.; Moestue, L.
2021. AgenturQ - Agentur zur Förderung der beruflichen Weiterbildung in der Metall- und Elektroindustrie Baden-Württemberg e.V
Same but Different – How Users Benefit in Online Peer Groups Depending on their User Role
Förster, M.
2021. Proceedings of the 29th European Conference on Information Systems (ECIS 2021), Association for Information Systems (AIS)
Evaluating Explainable Artificial Intelligence – What Users Really Appreciate
Förster, M.; Klier, M.; Kluge, K.; Sigler, I.
2020. Proceedings of the 28th European Conference on Information Systems (ECIS 2020), Association for Information Systems (AIS)
Getting to the Heart of Groups – Analyzing Social Support and Sentiment in Online Peer Groups
Bedué, P.; Förster, M.; Klier, M.; Zepf, K.
2020. Proceedings of the International Conference on Information Systems (ICIS 2020), Article no: 2181, Association for Information Systems (AIS)
Fostering Human Agency: A Process for the Design of User-Centric XAI Systems
Förster, M.; Klier, M.; Kluge, K.; Sigler, I.
2020. Proceedings of the International Conference on Information Systems (ICIS 2020), Association for Information Systems (AIS)
Online Peer Groups – A Design-Oriented Approach to Addressing the Unemployment of People with Complex Barriers
Felgenhauer, A.; Förster, M.; Kaufmann, K.; Klier, J.; Klier, M.
2019. Proceedings of the 27th European Conference on Information Systems (ECIS 2019), Association for Information Systems (AIS)