To Trust or Not-Trust: Privacy Issues With Voice Assistants

Debajyoti Pal, Chonlameth Arpnikanondt, Mohammad Abdur Razzaque, Suree Funilkul

Research output: Contribution to journalArticle

Abstract

The use of commercially available voice assistants (VA) that enable personal data collection on a large scale is on the rise. However, knowledge discovery on such data can lead to the violation of various privacy issues. This article presents the various stakeholders who are a part of this privacy regime, along with a detailed taxonomy of the various privacy issues existing currently in the VA world. This is supplemented by a privacy preserving trust model that discusses the various antecedents of the privacy issues identified, which will enable the end-users to have a greater level of trust in using the VA.
Original languageEnglish
Pages (from-to)46-53
Number of pages8
JournalIT Professional
Volume22
Issue number5
DOIs
Publication statusPublished - 10 Sep 2020

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