Interactive Visualization for Fostering Trust in ML
Interactive Visualization for Fostering Trust in ML
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Date
2023
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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.
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Subject (DDC)
004 Computer Science
Keywords
accountability,artificial intelligence,explainability,fairness,interactive visualization,machine learning,responsibility,trust,understandability
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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.12.8.103BibTex
@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} }
RDF
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Report from Dagstuhl Seminar 22351
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