AI in professional conduct

Contact person: Anders Strand

Status: Project

AI tools are being adopted rapidly across professional fields from medicine to research to education. Typically, this happens faster than we gain understanding of their effects. This project asks: how does reliance on AI change what responsible, trustworthy professional conduct looks like? And what's the best way to study this?

We aim to build a transdisciplinary framework that brings together philosophy, ethics, law, and social science to assess the real-world impact of AI in professional settings (WP1). We combine diverse disciplinary methods with a bottom-up approach rooted in the perspectives of those who use these tools in practice. Real-world use often reveals risks that abstract or lab-based standards miss. For instance, studies have found that routine reliance on AI can gradually erode professionals' own skills and judgment, a risk that could extend to research practices such as data analysis or writing.

The project includes case studies. One is a PhD position (WP2) examining how use of generative AI affects either research and research practices (case 1) or health services (case 2). A third case (WP3) concerns university education, where we plan to study how AI affects teaching and critical thinking in ex.phil (a mandatory introductory philosophy course with a representative student population).

Together, the case studies will inform a practical, transdisciplinary and evidence-based framework for navigating and assessing the role of AI tools in professional conduct.

Anders Strand (SPS, OsloMet), Joey Pollock (IFIKK, UiO), Mike Barnes (IFIKK, UiO), Bjarte Askeland (BI), Hege Hermansen (SPS, OsloMet), Andreas Eriksen (SPS, OsloMet), Anna Smajdor (IFIKK, UiO), Kim Pedersen Phillips (IFIKK, UiO).

Relevant action clusters include: AC1: AI in healthcare and medicine, AC3: AI for case processing and management in the public and private sector, AC14: Lifelong learning and AI, and AC15: AI for science.