To trust or not-trust: privacy issues with voice assistants
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.
Authors: Debajyoti Pal, Chonlameth Arpnikanondt, Mohammad A. Razzaque, Suree Funilkul
Published in: IT Professional (2020)