Rebecka Cedering Ångström

A new class of embodied technologies, defined as software or devices that aid individuals to increase, maintain, or improve their functional capabilities, is starting to blend or even fuse human cognition with technological affordances, promising to assist and enhance the lives of individuals. These devices have started to blend or even fuse human cognition with technological affordances, creating new levels of both empowerment and dependency as their use becomes increasingly interwoven into the fabric of the user's social life. We argue that existing conceptualizations of IS use need to be extended to account for the intricate ways in which both individual identity and social interaction of users are affected through the use of these devices. Theoretical development in this context could be foundational for advancing knowledge in the future use of brain-computer interfaces and AI integration in assistive and enhancing cognitive devices. Our qualitative study focuses on users and developers of smart assistive technology and devices for communication, which provide those who cannot physically speak with the means to communicate. We present a process model of technological intimacy, contending that this novel IS use pattern is habitually in a state of adaptation with continuous coping processes in ongoing cycles of human-technology engagement.

Although trust has been identified as critical for successfully integrating Artificial Intelligence (AI) into organizations, we know little about trust in AI within the organizational context and even less about distrust. In this paper, we investigate how distrust in AI unfolds in the organizational setting. We draw from a longitudinal case study in which we follow a data analytics team assigned to develop numerous AI algorithms for an organization striving to become AI-driven. Using the principles of grounded theory, our research
reveals that different organizational distrust dynamics shape distrust in AI. Thus, we develop three significant insights. First, we reveal that distrust in AI is situated and involves both social and technical trust referents. Second, we show that when a trust referent is rendered partly invisible to the trustor, this leads to the misattribution of distrust. Lastly, we show how distrust is transferred between social and technical trust referents. We contribute to the growing literature on integrating AI in organizations by articulating a broader and richer understanding of distrust in AI. We present a model of distrust transference actuated by social and technical trust referents. We also contribute to the literature on trust, showing how AI artifacts are implicated in trust relations within organizations.