On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness. - Lena Kästner; Markus Langer; Veronika Lazar; Astrid Schomäcker; Timo Speith; Sarah Sterz (RE Workshops, 2021)

User Involvement in Training Smart Home Agents: Increasing Perceived Control and Understanding. - Leonie Nora Sieger; Julia Hermann; Astrid Schomäcker; Stefan Heindorf; Christian Meske; Celine-Chiara Hey; Aysegül Dogangün (HAI, 2022)

Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy. - Sara Mann; Barnaby Crook; Lena Kästner; Astrid Schomäcker; Timo Speith (REW, 2023)

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)

Conceptualizing understanding in explainable artificial intelligence (XAI): an abilities-based approach. - Timo Speith; Barnaby Crook; Sara Mann; Astrid Schomäcker; Markus Langer (Ethics Inf. Technol., 2024)

Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research. - Lorenz Meinen; Astrid Schomäcker; Stefanie Wiedemann; Markus Hartmann; Timo Speith; Lena Kästner; Niklas Kühl 001; Christian Rückert (CoRR, 2025)