• Langer, M., Oster, D., Speith, T., Hermanns, H., Kästner, L., Schmidt, E., Sesing, A., and Baum,K. (under review). »What Do We Want From Explainable Artificial Intelligence (XAI) – A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research«. Artificial Intelligence.
  • Langer, M., Baum, K., Hähne, V., König, C., Oster, D., and Speith, T. (under review). »Spare me the details: How the type of information about algorithm-based interviews influences applicant reactions«
  • Baum, K., Mantel, S., Schmidt, E., Speith, T. (in Preparation). »A Philosophy-Based Approach to Explainable AI«.
  • Köhl, M., Bohlender, D., Baum, K., Langer, M., Oster, D., Speith, T. »Explainability as a Non-Functional Requirement« at the RE@Next! Track of the 27th IEEE International Requirements Engineering Conference (RE’19), Jeju-Do, South Korea.
  • Baum, K., Hermanns, H., & Speith, T. (2018). »Towards a Framework Combining Machine Ethics and Machine Explainability« in the Proceedings of the 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology (CREST 2028), Thessaloniki, Griechenland.
  • Baum, K., Hermanns, H., & Speith, T. (2018). »From Machine Ethics to Machine Explainability and Back« at the International Symposium on Artificial Intelligence and Mathematics (ISAIM 2018), Fort Lauderdale, Florida, USA.
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