Interactive Visualization for Fostering Trust in ML

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2023
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Dagstuhl Reports. Dagstuhl Publishing. 2023, 12(8), pp. 103-116. eISSN 2192-5283. Available under: doi: 10.4230/DagRep.12.8.103
Zusammenfassung

The use of artificial intelligence continues to impact a broad variety of domains, application areas, and people. However, interpretability, understandability, responsibility, accountability, and fairness of the algorithms' results - all crucial for increasing humans' trust into the systems - are still largely missing. The purpose of this seminar is to understand how these components factor into the holistic view of trust. Further, this seminar seeks to identify design guidelines and best practices for how to build interactive visualization systems to calibrate trust.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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accountability, artificial intelligence, explainability, fairness, interactive visualization, machine learning, responsibility, trust, understandability
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ISO 690CHAU, Polo, Alex ENDERT, Daniel A. KEIM, Daniela OELKE, 2023. Interactive Visualization for Fostering Trust in ML. In: Dagstuhl Reports. Dagstuhl Publishing. 2023, 12(8), pp. 103-116. eISSN 2192-5283. Available under: doi: 10.4230/DagRep.12.8.103
BibTex
@article{Chau2023Inter-66368,
  year={2023},
  doi={10.4230/DagRep.12.8.103},
  title={Interactive Visualization for Fostering Trust in ML},
  number={8},
  volume={12},
  journal={Dagstuhl Reports},
  pages={103--116},
  author={Chau, Polo and Endert, Alex and Keim, Daniel A. and Oelke, Daniela},
  note={Report from Dagstuhl Seminar 22351}
}
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