Accepted Contributions

• An Explainability Approach for Conversational User Interfaces in Walk-Up-And-Use Contexts
  by Schrills, T., Schmid, L., Jetter, H.-C., and Franke, T. [recording]
• Audit, Don’t Explain – Recommendations Based on a Socio-Technical Understanding of ML-Based Systems (Position paper)
  by Heuer, H. [slides]
• Design Decision Framework for AI Explanations
  by Anuyah, O., Fine, W., and Metoyer, R.
• How can Small Data Sets be Clustered?
  by Weigand, A. C., Lange, D., and Rauschenberger, M.
• Noise over Fear of Missing Out (Position paper)
  by Schleith, J., Hristozova, N., Chechmanek, B., Bussey, C., and Michalak, L. [slides]
• On the Convergence of Intelligent Decision Aids (Position paper)
  by Loepp, B. [slides]
• The Role of Explanations of AI Systems: Beyond Trust and Helping to Form Mental Models (Position paper)
  by Norkute, M. [slides]