09:00 – 09:45 Keynote (Chair: Jürgen Ziegler)

• On Human-Centered AI in Medicine
  by Andreas Holzinger

09:45 – 11:00 Session 1 (Chair: Daniel Buschek)

• eXplainable AI: Take one Step Back, Move two Steps Forward
  by Alizadeh, F., Esau, M., Stevens, G., and Cassens, L
• Argumentative Explanations for Recommendations – Effect of Display Style and Profile Transparency
  by Hernandez-Bocanegra, D. C. and Ziegler, J.
• Demystifying Deep Learning: A Learning Application for Beginners to Gain Practical Experience
  by Schultze, S., Gruenefeld, U., and Boll, S.
• Explaining Explainable AI (Position paper)
  by Panda, S. and Roy, S. T.

11:00 – 11:15 Break

11:15 – 12:30 Session 2 (Chair: Eelco Herder)

• Recommendations to Handle Health-related Small Imbalanced Data in Machine Learning
  by Rauschenberger, M. and Baeza-Yates, R.
• Adaptive Predictive-Questionnaire by Approximate Dynamic-Programming
  by Logé, F., Le Pennec, E., and Amadou-Boubacar, H.
• Structuring and Exploring User Behavioral Patterns in Social Media Traces
  by Herder, E., Roßner, D., and Atzenbeck, C.
• Autocompletion as a Basic Interaction Concept for User-Centered AI (Position paper)
  by Lehmann, F. and Buschek, D.

12:30 – 13:00 Closing discussion