Knowledge Creation and Sharing in Augmented Organisations

Short description

This project studies how generative AI reshapes the social fabric of early-career work: who people turn to for help, how they learn from colleagues, how expertise develops, and how responsibility for decisions and outcomes is negotiated. It focuses on people who have used generative AI throughout their recent education and are now learning their roles in the workplace.

Working with RTL Nederland and KPMG Netherlands, the doctoral researcher will conduct embedded ethnography through interviews and observations with employees, managers, developers and other stakeholders. The research will follow what people actually do with AI, how they learn and become part of professional communities, and the difficulties they encounter.

A central concept is ‘AI anomie’: uncertainty about how AI should be used at work when policies, managers and colleagues send different messages. Employees may be encouraged to use AI to work faster while remaining responsible for quality and developing their own expertise. The project will examine these tensions and explore how organisations can support responsible AI use, learning and skill development at the start of a career.