Maximilian Förster

24 papers C 4Journal 8Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Taxonomy for Uncertainty-Aware Explainable AI. ECIS Maximilian Förster, Michael Hagn, Nico Hambauer, Paula Kathrin Viktoria Jaki, Andreas Alexander Obermeier, Marc Pinski, Andreas Schauer, Alexander Schiller
2025	J	`jnl`	Driving business value through people analytics: Literature review and research agenda from an information systems perspective. Electron. Mark. Sven Bottesch, Chiara Schwenke, Maximilian Förster, Mathias Klier
2025	—	`conf`	Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users. ECIS Julian Rosenberger, Philipp Schröppel, Sven Kruschel, Mathias Kraus, Patrick Zschech, Maximilian Förster
2025	J	`jnl`	Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users. CoRR Julian Rosenberger, Philipp Schröppel, Sven Kruschel, Mathias Kraus, Patrick Zschech, Maximilian Förster
2025	C	`conf`	Revealing the AI's Reasoning in Human-in-the-Loop Systems: How Explanations Impact Human Feedback. ICIS Maximilian Buck, Hannah Knehr, Maximilian Förster, Mathias Klier
2025	J	`jnl`	Tell me more, tell me more: the impact of explanations on learning from feedback provided by Artificial Intelligence. Eur. J. Inf. Syst. Maximilian Förster, Hanna Rebecca Broder, Marie C. Fahr, Mathias Klier, Lior Fink
2025	J	`jnl`	Too old to find employment? A novel approach to leverage the power of digital peer groups for older unemployed. Inf. Syst. E Bus. Manag. Hanna Rebecca Broder, Maximilian Förster, Julia Klier, Mathias Klier, Irina Sigler
2025	—	`conf`	What's Past is Prologue: a Novel Method to Explain AI-based Time Series Forecasts. ECIS Lara Frost, Maximilian Förster, Mathias Klier
2024	—	`conf`	Building AI Literacy with Experiential Learning - Insights from a Field Experiment in K-12 Education. Wirtschaftsinformatik Maximilian Förster, Kirsten Pitz, Andrea Wrabel, Mathias Klier, Steffen Zimmermann
2024	C	`conf`	Choose Wisely: Leveraging Explainable AI to Support Reflective Decision-Making. ICIS Maximilian Förster, Philipp Schröppel, Chiara Schwenke, Lior Fink, Mathias Klier
2024	—	`conf`	Exploring XAI Users' Needs: A Novel Approach to Personalize Explanations Using Contextual Bandits. ECIS Philipp Schröppel, Maximilian Förster
2024	J	`jnl`	START Foundation: Coping with Bias and Fairness when Implementing and Using an AI System. Commun. Assoc. Inf. Syst. Chiara Schwenke, Julia Brasse, Maximilian Förster, Mathias Klier
2024	—	`conf`	Wasn't Expecting that - Using Abnormality as a Key to Design a Novel User-Centric Explainable AI Method. DESRIST Tobias Jahn, Philipp Hühn, Maximilian Förster
2023	—	`conf`	Boosting Benefits, Offsetting Obstacles - the Impact of Explanations on AI Users' Task Performance. Wirtschaftsinformatik Marie Christine Walter, Hanna Rebecca Broder, Maximilian Förster
2023	J	`jnl`	Explainable artificial intelligence in information systems: A review of the status quo and future research directions. Electron. Mark. Julia Brasse, Hanna Rebecca Broder, Maximilian Förster, Mathias Klier, Irina Sigler
2023	—	`conf`	Generierung regulärer Ausdrücke zur Prüfung von SQL-Statements. DELFI Workshops Maximilian Förster, Patrick Binkert, Holger Rohland, Thiemo Leonhardt
2023	J	`jnl`	User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data. J. Decis. Syst. Maximilian Förster, Philipp Hühn, Mathias Klier, Kilian Kluge
2022	J	`jnl`	Leveraging the Power of Peer Groups for Refugee Integration. Bus. Inf. Syst. Eng. Maximilian Förster, Julia Klier, Mathias Klier, Katharina Schäfer-Siebert, Irina Sigler
2021	—	`conf`	Capturing Users' Reality: A Novel Approach to Generate Coherent Counterfactual Explanations. HICSS Maximilian Förster, Philipp Hühn, Mathias Klier, Kilian Kluge
2021	—	`conf`	Same but Different - How Users Benefit in Online Peer Groups Depending on their User Role. ECIS Maximilian Förster
2020	—	`conf`	Evaluating Explainable Artifical Intelligence - What Users Really Appreciate. ECIS Maximilian Förster, Mathias Klier, Kilian Kluge, Irina Sigler
2020	C	`conf`	Fostering Human Agency: A Process for the Design of User-Centric XAI Systems. ICIS Maximilian Förster, Mathias Klier, Kilian Kluge, Irina Sigler
2020	C	`conf`	Getting to the Heart of Groups - Analyzing Social Support and Sentiment in Online Peer Groups. ICIS Patrick Bedué, Maximilian Förster, Mathias Klier, Kilian Zepf
2019	—	`conf`	Online Peer Groups - a Design-Oriented Approach to Addressing the unemployment of People with Complex Barriers. ECIS Annette Felgenhauer, Maximilian Förster, Katharina Kaufmann, Julia Klier, Mathias Klier