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Interactive Visualization for Fostering Trust in AI

  • Artificial intelligence (AI), and in particular machine learning algorithms, are of increasing importance in many application areas but interpretability and understandability as well as responsibility, accountability, and fairness of the algorithms' results, all crucial for increasing the humans' trust into the systems, are still largely missing. Big industrial players, including Google,Artificial intelligence (AI), and in particular machine learning algorithms, are of increasing importance in many application areas but interpretability and understandability as well as responsibility, accountability, and fairness of the algorithms' results, all crucial for increasing the humans' trust into the systems, are still largely missing. Big industrial players, including Google, Microsoft, and Apple, have become aware of this gap and recently published their own guidelines for the use of AI in order to promote fairness, trust, interpretability, and other goals. Interactive visualization is one of the technologies that may help to increase trust in AI systems. During the seminar, we discussed the requirements for trustworthy AI systems as well as the technological possibilities provided by interactive visualizations to increase human trust in AI.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/8495
Bibliografische Angaben
Title (English):Interactive Visualization for Fostering Trust in AI
Conference:Dagstuhl-Seminar 20382 (13. Sep - 16. Sep, 2020 : Dagstuhl)
Author:Daniela OelkeStaff MemberGND, Daniel A. Keim, Polo Chau, Alex Endert
Year of Publication:2021
Publisher:Schloss-Dagstuhl - Leibniz Zentrum für Informatik
First Page:37
Last Page:42
Parent Title (English):Dagstuhl Reports
Volume:10
Issue:4
ISSN:2192-5283
DOI:https://doi.org/10.4230/DagRep.10.4.37
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Collections of the Offenburg University:Bibliografie
Tag:accountability; artificial intelligence; explainability; fairness; interactive visualization; machine learning; responsibility; trust; understandability
Formale Angaben
Open Access: Open Access 
 Diamond 
Licence (German):License LogoCreative Commons - Namensnennung