Assessing healthy distrust in human-AI interaction: interpreting changes in visual attention
T.M. Peters, K. Biermeier, I. Scharlau, Frontiers in Psychology 16 (2026).

Conscious Artificial Intelligence in Service
C. Breidbach, C.F. Lars-Erik, P. Maglio, D. Beverungen, J. Wirtz, A. Twigg, Journal of Service Management 37 (2026) 597–621.

Performance evaluation of large language models in extracting requirements sets from technical documents
I. Gräßler, J.N. Pfeifer, in: I. Graessler (Ed.), 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, Universitätsbibliothek, 2026.

Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III
D.C. Hanke, A. Uhde, Y. Feng, Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III, 2026.

Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation
R. Visser, T.M. Peters, I. Scharlau, B. Hammer, Cognitive Systems Research (2025).

Interacting with fallible AI: Is distrust helpful when receiving AI misclassifications?
T.M. Peters, I. Scharlau, Frontiers in Psychology 16 (2025).

Forms of Understanding for XAI-Explanations
H. Buschmeier, H.M. Buhl, F. Kern, A. Grimminger, H. Beierling, J.B. Fisher, A. Groß, I. Horwath, N. Klowait, S.T. Lazarov, M. Lenke, V. Lohmer, K. Rohlfing, I. Scharlau, A. Singh, L. Terfloth, A.-L. Vollmer, Y. Wang, A. Wilmes, B. Wrede, Cognitive Systems Research 94 (2025).

Development of an AI-driven decentralized control for fifth generation district heating and cooling networks
J.A.T. Donner, A. Schlüter, in: SDEWES Conference 2025, 2025.

Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence
I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, P. Wiederkehr, Industry 4.0 Science 2025 (2025).

Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
H. Harder, S. Peitz, (n.d.).

Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence
P.J. Kulkarni, D. Tissen, R. Bernijazov, R. Dumitrescu, in: J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom, O. Isaksson (Eds.), DS 130: Proceedings of NordDesign 2024, 2024, pp. 617–625.

Computer-Based Generation of Learner-Sensitive Feedback to Argumentative Learner Texts
S. Kilsbach, N. Michel, in: Proceedings of the Tenth Conference of the International Society for the Study of Argumentation, 2024.

The problem of algorithmic bias in AI-based military decision support systems
I. Bhila, I. Bode, The Problem of Algorithmic Bias in AI-Based Military Decision Support Systems, ICRC Humanitarian Law &; Policy Blog, 2024.

Does Explainability Require Transparency?
E. Esposito, Sociologica 16 (2023) 17–27.

Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction
E. Esposito, Sociologica 16 (2023) 1–4.

Towards a Data-Driven Product Management – Concepts, Advantages, and Future Research
T. Fichtler, K. Grigoryan, C. Koldewey, R. Dumitrescu, in: 2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), IEEE, 2023.

Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research
J. Rieskamp, L. Hofeditz, M. Mirbabaie, S. Stieglitz, in: Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2023.

HIEF: a holistic interpretability and explainability framework
J.-P. Kucklick, Journal of Decision Systems (2023) 1–41.

Data-Driven Product Management: A Practitioner-Driven Research Agenda
K. Grigoryan, T. Fichtler, N. Schreiner, M. Rabe, M. Panzner, A. Kühn, R. Dumitrescu, C. Koldewey, in: Procedia CIRP 33, 2023.

A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations
F. Liedeker, P. Cimiano, in: 2023.