Schlund, Rachel Jean2020-08-102020-08-102020-05Schlund_cornell_0058O_10905http://dissertations.umi.com/cornell:10905https://hdl.handle.net/1813/7027774 pagesWithin the last few decades, we have witnessed the dramatic rise in the use of AI surveillance technologies in organizations. In this paper, we answer calls from management scholars to investigate the impact of this new aspect of organizational control on manager-worker dynamics. Focusing on employees’ perceptions of privacy invasion, we investigate in four experimental studies whether these differ when the observer is a form of AI technology instead of a human. We demonstrate that employees perceive their privacy is invaded to a greater extent when AI surveillance technologies monitor them as opposed to human managers (Studies 1-4). We further assess downstream consequences of perceived privacy invasion (Studies 1-2), explore mechanisms that explain the relationship between monitoring form (AI surveillance technologies vs. human managers) and perceived privacy invasion (Study 3), and investigate ways to attenuate the effect (Study 4). Throughout these studies, we extend prior theory to provide insight into the implications of the increasing use of AI surveillance technologies in organizations.enAIManager-Worker DynamicsOrganizational ControlPrivacySurveillancedissertation or thesishttps://doi.org/10.7298/z3t5-m844