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Maximilian Förster
Maximilian Förster
Verified email at uni-ulm.de
Title
Cited by
Cited by
Year
Evaluating explainable Artifical intelligence–What users really appreciate
M Förster, M Klier, K Kluge, I Sigler
382020
Fostering human agency: A process for the design of user-centric XAI systems
M Förster, M Klier, K Kluge, I Sigler
332020
Capturing users’ reality: A novel approach to generate coherent counterfactual explanations
M Förster, P Hühn, M Klier, K Kluge
242021
Explainable artificial intelligence in information systems: A review of the status quo and future research directions
J Brasse, HR Broder, M Förster, M Klier, I Sigler
Electronic Markets 33 (1), 26, 2023
212023
Online peer groups–a design-oriented approach to addressing the unemployment of people with complex barriers
A Felgenhauer, M Förster, K Kaufmann, J Klier, M Klier
92019
User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data
M Förster, P Hühn, M Klier, K Kluge
Journal of Decision Systems 32 (4), 700-731, 2023
82023
Future Skills: Welche Kompetenzen für den Standort Baden-Württemberg heute und in Zukunft erfolgskritisch sind
M Klier, B Heinrich, J Klier, B Brasse, M Förster, P Hühn, L Moestue
Abgerufen am, 2023
62023
Preparing for the future of work: a novel data-driven approach for the identification of future skills
J Brasse, M Förster, P Hühn, J Klier, M Klier, L Moestue
Journal of Business Economics 94 (3), 467-500, 2024
42024
Getting to the heart of groups–analyzing social support and sentiment in online peer groups
P Bedué, M Förster, M Klier, K Zepf
42020
Stochastic analysis of citation time series of emergent research topics
M Förster, B Stelzer, E Schiebel
STI 2018 conference proceedings, 1279-1291, 2018
32018
Same but Different–How Users Benefit in Online Peer Groups Depending on their User Role
M Förster
22021
Leveraging the power of peer groups for refugee integration: a randomized field experiment comparing online and offline peer groups
M Förster, J Klier, M Klier, K Schäfer-Siebert, I Sigler
Business & Information Systems Engineering, 1-17, 2022
12022
Wasn’t Expecting that–Using Abnormality as a Key to Design a Novel User-Centric Explainable AI Method
T Jahn, P Hühn, M Förster
International Conference on Design Science Research in Information Systems …, 2024
2024
START Foundation: Coping with Bias and Fairness when Implementing and Using an AI System
C Schwenke, J Brasse, M Förster, M Klier
Communications of the Association for Information Systems 54 (1), 43, 2024
2024
Exploring XAI Users' Needs: A Novel Approach to Personalize Explanations Using Contextual Bandits
P Schröppel, M Förster
2024
Explainable AI
M Förster, M Klier, IS Kluge
Responsible Digital Technology, 16, 2023
2023
AIS Electronic Library (AISeL)
M Förster, M Klier, K Kluge, I Sigler
Responsible Digital Technology, 2023
2023
Boosting Benefits, Offsetting Obstacles–the Impact of Explanations on AI Users’ Task Performance
M Förster
2023
Neue Wege bei Beratung und Arbeitsvermittlung durch Digitalisierung: Online-Chat ermöglicht Informationsaustausch und gegenseitige Unterstützung
H Bähr, H Broder, M Dietz, M Förster, M Klier
IAB-Kurzbericht, 2022
2022
The impact of ICT on social integration-contributions with focus on social media and explainable artificial intelligence
M Förster
Universität Ulm, 2021
2021
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