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Privacy in Speech and Language Technology: Dagstuhl Seminar 22342
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-6938-4466
Saarland University, Germany.
Katholieke Universiteit Leuven, Belgium .
Inria – Nancy, France.
2023 (English)Collection (editor) (Other academic)Alternative title
Dagstuhl Reports (English)
Abstract [en]

This report documents the outcomes of Dagstuhl Seminar 22342 “Privacy in Speech and LanguageTechnology”. The seminar brought together 27 attendees from 9 countries (Australia, Belgium,France, Germany, the Netherlands, Norway, Portugal, Sweden, and the USA) and 6 distinctdisciplines (Speech Processing, Natural Language Processing, Privacy Enhancing Technologies,Machine Learning, Human Factors, and Law) in order to achieve a common understanding of theprivacy threats raised by speech and language technology, as well as the existing solutions andthe remaining issues in each discipline, and to draft an interdisciplinary roadmap towards solvingthose issues in the short or medium term.To achieve these goals, the first day and the morning of the second day were devoted to3-minute self-introductions by all participants intertwined with 6 tutorials to introduce theterminology, the problems faced, and the solutions brought in each of the 6 disciplines. We alsomade a list of use cases and identified 6 cross-disciplinary topics to be discussed. The remainingdays involved working groups to discuss these 6 topics, collaborative writing sessions to report onthe findings of the working groups, and wrap-up sessions to discuss these findings with each other.A hike was organized in the afternoon of the third day.The seminar was a success: all participants actively participated in the working groups andthe discussions, and went home with new ideas and new collaborators. This report gathers theabstracts of the 6 tutorials and the reports of the working groups, which we consider as valuablecontributions towards a full-fledged roadmap.

Place, publisher, year, edition, pages
Germany: Dagstuhl Publishing , 2023. , p. 42
Keywords [en]
Privacy, Speech and Language Technology, Privacy Enhancing Technologies, Dagstuhl Seminar
National Category
Other Computer and Information Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-98990DOI: 10.4230/DagRep.12.8.60OAI: oai:DiVA.org:kau-98990DiVA, id: diva2:1846444
Note

Seminar August 21–26, 2022 – https://www.dagstuhl.de/22342

Available from: 2024-03-22 Created: 2024-03-22 Last updated: 2024-04-29Bibliographically approved

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Fischer-Hübner, Simone

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Citation style
  • apa
  • ieee
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Language
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  • Other locale
More languages
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