Interactive Visualization for Fostering Trust in ML

Chau, Polo; Endert, Alex; Keim, Daniel A.; Oelke, Daniela

Interactive Visualization for Fostering Trust in ML

Files

Chau_2-em3yrhuir7v02.pdf(2.05 MB)

Date

2023

Authors

Chau, Polo

Endert, Alex

Keim, Daniel A.

Oelke, Daniela

Publication type

Journal article

Publication status

Published

Published in

Dagstuhl Reports ; 12 (2023), 8. - pp. 103-116. - Dagstuhl Publishing. - eISSN 2192-5283

Abstract

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.

Subject (DDC)

004 Computer Science

Keywords

accountability,artificial intelligence,explainability,fairness,interactive visualization,machine learning,responsibility,trust,understandability

Cite This

ISO 690

CHAU, Polo, Alex ENDERT, Daniel A. KEIM, Daniela OELKE, 2023. Interactive Visualization for Fostering Trust in ML. In: Dagstuhl Reports. Dagstuhl Publishing. 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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Comment on publication

Report from Dagstuhl Seminar 22351

Refereed

Unknown