Although privacy issues have been widely examined in relation to workplace technology, this study/paper aims to provide a deeper understanding of privacy from a workplace perspective in the context of AI-based intelligent voice assistants.
Given the call for more qualitative-empirical studies to examine AI-based intelligent voice assistants, this study conducted 26 in-depth, semistructured interviews with a range of North American organizations across various sectors and industry types. Guided by a constructionist research paradigm and employing a thematic analysis approach, the study focuses on the subjective experiences and insights of participants regarding the use of digital assistants in the workplace.
While AI-based intelligent voice assistants can increase productivity and efficiency, the findings reveal that issues related to worker privacy are a significant area of concern. The perceived omnipresent nature of voice assistants fostered apprehensions regarding the listening to and recording of conversations, particularly personal information (information collection). Concerns were raised regarding information processing, specifically whether data was being used for its intended purpose. Fears were also raised about the unintentional dissemination of information, often due to concerns associated with technical glitches. The findings also reveal the invasive nature of digital assistants and their potential to disrupt an individual’s daily routine and personal space.
Drawing on Solove’s theoretical underpinnings, particularly the work on privacy, this paper offers a fresh perspective on understanding privacy concerns surrounding AI-based intelligent voice assistants in the workplace.
