Fairness and Decision-making in Collaborative Shift Scheduling Systems. - Alarith Uhde; Nadine Schlicker; Dieter P. Wallach; Marc Hassenzahl (CHI, 2020)

Towards Warranted Trust: A Model on the Relation Between Actual and Perceived System Trustworthiness. - Nadine Schlicker; Markus Langer (MuC, 2021)

What to expect from opening up 'black boxes'? Comparing perceptions of justice between human and automated agents. - Nadine Schlicker; Markus Langer; Sonja K. Ötting; Kevin Baum 001; Cornelius J. König; Dieter Wallach (Comput. Hum. Behav., 2021)

Training one model to detect heart and lung sound events from single point auscultations. - Leander Melms; Robert R. Ilesan; Ulrich Köhler; Olaf Hildebrandt; Regina Conradt; Jens Eckstein; Cihan Atila; Sami Matrood; Bernhard Schieffer; Jürgen R. Schaefer; Tobias Müller; Julius Obergassel; et al. (CoRR, 2023)

Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards. - Michaela Benk; Léane Wettstein; Nadine Schlicker; Florian von Wangenheim; Nicolas Scharowski (AAAI, 2025)

How do we assess the trustworthiness of AI? Introducing the trustworthiness assessment model (TrAM). - Nadine Schlicker; Kevin Baum 001; Alarith Uhde; Sarah Sterz; Martin C. Hirsch; Markus Langer (Comput. Hum. Behav., 2025)

Effective Human Oversight of AI-Based Systems: A Signal Detection Perspective on the Detection of Inaccurate and Unfair Outputs. - Markus Langer; Kevin Baum 001; Nadine Schlicker (Minds Mach., 2025)

Explanation format does not matter; but explanations do - An Eggsbert study on explaining Bayesian Optimisation tasks. - Tanmay Chakraborty; Marion Koelle; Jörg Schlötterer; Nadine Schlicker; Christian Wirth 001; Christin Seifert (CoRR, 2025)

Six Guidelines for Trustworthy, Ethical and Responsible Automation Design. - Matous Jelínek; Nadine Schlicker; Ewart de Visser (CoRR, 2025)