September 13 – 16 , 2020, Dagstuhl Seminar 20382

Interactive Visualization for Fostering Trust in AI


Polo Chau (Georgia Institute of Technology – Atlanta, US)
Alex Endert (Georgia Institute of Technology – Atlanta, US)
Daniel A. Keim (Universität Konstanz, DE)
Daniela Oelke (Hochschule Offenburg, DE)

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Dagstuhl Report, Volume 10, Issue 4 Dagstuhl Report
Aims & Scope
List of Participants
Dagstuhl's Impact: Documents available


Artificial Intelligence (AI) and other computational processes continue to influence decisions across a wide range of applications including healthcare decisions, vehicle navigation, data science, and others. This Dagstuhl seminar reflected on some of the challenges inherent in the goal of increasing the interpretability of these systems, and when applicable, increase the trust people put into them to make decisions. The seminar participants discussed the complexity of trust itself, and how the concept is multi-faceted, and likely outside of researchers in technology and computer science to fully define. We discussed an inter-disciplinary research agenda, as well as a manifesto that should help frame this direction going forward.

Summary text license
  Creative Commons BY 3.0 Unported license
  Polo Chau, Alex Endert, Daniel A. Keim, and Daniela Oelke

Related Dagstuhl Seminar


  • Graphics
  • Human-Computer Interaction
  • Machine Learning


  • Interactive visualization
  • Machine learning
  • Trust
  • Responsibility
  • Understandability


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


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