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2020 – today
- 2024
[j4]Chiara Schwenke, Julia Brasse, Maximilian Förster, Mathias Klier:
START Foundation: Coping with Bias and Fairness when Implementing and Using an AI System. Commun. Assoc. Inf. Syst. 54: 43 (2024)- [c11]Tobias Jahn, Philipp Hühn, Maximilian Förster:
Wasn't Expecting that - Using Abnormality as a Key to Design a Novel User-Centric Explainable AI Method. DESRIST 2024: 66-80 - [c10]Philipp Schröppel, Maximilian Förster:
Exploring XAI Users' Needs: A Novel Approach to Personalize Explanations Using Contextual Bandits. ECIS 2024 - [c9]Maximilian Förster, Philipp Schröppel, Chiara Schwenke, Lior Fink, Mathias Klier:
Choose Wisely: Leveraging Explainable AI to Support Reflective Decision-Making. ICIS 2024 - 2023
- [j3]Julia Brasse, Hanna Rebecca Broder, Maximilian Förster, Mathias Klier
, Irina Sigler:
Explainable artificial intelligence in information systems: A review of the status quo and future research directions. Electron. Mark. 33(1): 26 (2023) - [j2]Maximilian Förster, Philipp Hühn, Mathias Klier, Kilian Kluge:
User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data. J. Decis. Syst. 32(4): 700-731 (2023) - [c8]Maximilian Förster, Patrick Binkert, Holger Rohland, Thiemo Leonhardt:
Generierung regulärer Ausdrücke zur Prüfung von SQL-Statements. DELFI Workshops 2023: 402 - [c7]Marie Christine Walter, Hanna Rebecca Broder, Maximilian Förster:
Boosting Benefits, Offsetting Obstacles - the Impact of Explanations on AI Users' Task Performance. Wirtschaftsinformatik 2023: 29 - 2022
- [j1]Maximilian Förster, Julia Klier, Mathias Klier, Katharina Schäfer-Siebert, Irina Sigler:
Leveraging the Power of Peer Groups for Refugee Integration. Bus. Inf. Syst. Eng. 64(4): 441-457 (2022) - 2021
- [c6]Maximilian Förster:
Same but Different - How Users Benefit in Online Peer Groups Depending on their User Role. ECIS 2021 - [c5]Maximilian Förster, Philipp Hühn, Mathias Klier, Kilian Kluge:
Capturing Users' Reality: A Novel Approach to Generate Coherent Counterfactual Explanations. HICSS 2021: 1-10 - 2020
- [c4]Maximilian Förster, Mathias Klier, Kilian Kluge, Irina Sigler:
Evaluating Explainable Artifical Intelligence - What Users Really Appreciate. ECIS 2020 - [c3]Patrick Bedué, Maximilian Förster, Mathias Klier, Kilian Zepf:
Getting to the Heart of Groups - Analyzing Social Support and Sentiment in Online Peer Groups. ICIS 2020 - [c2]Maximilian Förster, Mathias Klier, Kilian Kluge, Irina Sigler:
Fostering Human Agency: A Process for the Design of User-Centric XAI Systems. ICIS 2020
2010 – 2019
- 2019
- [c1]Annette Felgenhauer, Maximilian Förster, Katharina Kaufmann, Julia Klier, Mathias Klier:
Online Peer Groups - a Design-Oriented Approach to Addressing the unemployment of People with Complex Barriers. ECIS 2019
Coauthor Index
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