Abstract

As Generative AI (GenAI) becomes embedded in everyday work, it is important to understand how it reshapes professional roles, relationships and knowledge and expertise across sectors. Healthcare work is complex, relies on professional judgment, involves ethical and patient-safety concerns, and depends on access to accurate and relevant information, making it an especially interesting setting for studying GenAI. The aim of this study is to explore how Swedish junior doctors experience and trust GenAI in their daily work. Drawing on empirical data from two focus group interviews and a systematic literature review, we use trust as a theoretical lens to analyze how GenAI is understood and used in practice. The research question is: How do junior doctors in Swedish healthcare experience trust in GenAI in their everyday work? Our findings show that GenAI is viewed as unavoidable and highly contextual, with implications across technical, relational, ethical, and epistemic domains, including concerns about patient inequality and professional knowledge and expertise. The paper contributes to information systems (IS) research on trust in AI by identifying and mapping GenAI across four interrelated dimensions, highlighting implications for the responsible use of GenAI in healthcare and providing recommendations for medical education and practice.

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