Exploring AI Developers’ Perspectives on Trustworthy AI

The concept of trustworthy AI has become a central ethical and policy ideal. However, while institutions and policymakers promote trustworthy AI as a normative goal, the people who actually design these systems – AI developers – play a crucial role in interpreting and enacting what “trustworthy” means in practice. Their perspectives reveal how abstract principles such as transparency, accountability, and fairness are translated in concrete technical and organizational settings. 

Research question: How do AI developers conceptualize and operationalize trustworthy AI in their design and development processes?

Research design: Exploratory Qualitative Interview study 

Methods for data collection: Semi-structured interviews with AI developers

Potential supervisor: Hannah Piehl, PhD student at Clinical Data Science (hannah.piehl@maastrichtuniversity.nl)

Required skills: 

  • English
  • Experience or interest in qualitative interviews and analysis
  • Interest in sociological, philosophical and/or ethics research

Time period: Flexible start date, approx. 3-6 months

Location: Maastricht

This project may be conducted in collaboration with the student project “Exploring AI Developers’ Needs for Healthcare Collaboration” (supervisor: Simone Mingels).