Service Analytics: Putting the "Smart" in Smart Services. - Niklas Kühl 001; Hansjörg Fromm; Jakob Schöffer; Gerhard Satzger (Smart Service Management, 2020)

Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. - Lucas Baier; Jakob Schöffer; Niklas Kühl 001 (ICIS, 2020)

DEAL: Deep Evidential Active Learning for Image Classification. - Patrick Hemmer; Niklas Kühl 001; Jakob Schöffer (ICMLA, 2020)

Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic. - Lucas Baier; Niklas Kühl 001; Jakob Schöffer; Gerhard Satzger (CoRR, 2020)

Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. - Jakob Schöffer; Niklas Kühl 001 (CSCW Companion, 2021)

A Ranking Approach to Fair Classification. - Jakob Schöffer; Niklas Kühl 001; Isabel Valera (COMPASS, 2021)

A Study on Fairness and Trust Perceptions in Automated Decision Making. - Jakob Schöffer; Yvette Machowski; Niklas Kühl 001 (IUI Workshops, 2021)

A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making. - Jakob Schoeffer (CHI Extended Abstracts, 2022)

"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making. - Jakob Schoeffer; Niklas Kühl 001; Yvette Machowski (FAccT, 2022)

Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. - Patrick Hemmer; Niklas Kühl 001; Jakob Schoeffer (HICSS, 2022)

Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making. - Jakob Schoeffer; Yvette Machowski; Niklas Kühl 001 (HICSS, 2022)

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. - Johannes Jakubik; Jakob Schöffer; Vincent Hoge; Michael Vössing; Niklas Kühl 001 (PKDD/ECML Workshops (1), 2022)

On the Relationship Between Explanations, Fairness Perceptions, and Decisions. - Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (CoRR, 2022)

Online Platforms and the Fair Exposure Problem under Homophily. - Jakob Schoeffer; Alexander Ritchie; Keziah Naggita; Faidra Monachou; Jessica Finocchiaro; Marc Juarez (AAAI, 2023)

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. - Jakob Schoeffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (HHAI, 2023)

Detecting Concept Drift with Neural Network Model Uncertainty. - Lucas Baier; Tim Schlör; Jakob Schoeffer; Niklas Kühl 001 (HICSS, 2023)

A Critical Survey on Fairness Benefits of XAI. - Luca Deck; Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (CoRR, 2023)

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making. - Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (CHI, 2024)

Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle. - Luca Deck; Astrid Schomäcker; Timo Speith; Jakob Schöffer; Lena Kästner; Niklas Kühl 001 (EWAF, 2024)

A Critical Survey on Fairness Benefits of Explainable AI. - Luca Deck; Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (FAccT, 2024)

"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming. - Connor Lawless; Jakob Schoeffer; Lindy Le; Kael Rowan; Shilad Sen; Cristina St. Hill; Jina Suh; Bahareh Sarrafzadeh (ACM Trans. Interact. Intell. Syst., 2024)

Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest. - Jakob Schoeffer; Maria De-Arteaga; Jonathan Elmer (FAccT, 2025)

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions. - Jakob Schöffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (J. Artif. Intell. Res., 2025)