Comparing Institutional Definitions of Trustworthy AI
Policy and institutional documents frequently proclaim the goal of “trustworthy AI”. Yet, the meaning of this term varies widely. Comparing such definitions can reveal institutional power dynamics and epistemic assumptions.
Research question: How do institutions define and conceptualize “trustworthy AI” in healthcare policy?
Research design: Comparative document analysis
Methods for data collection:
- Collect and code approx. 20 policy and strategy documents from the EU, WHO, OECD, FDA, etc.
- Conduct thematic analysis on conceptual framings of trust & trustworthiness and their relation to AI ethics
- Identify institutional differences
Potential supervisor: Hannah Piehl, PhD student at Clinical Data Science (hannah.piehl@maastrichtuniversity.nl)
Required skills:
- English
- Critical reading
- Interest in policy analysis
- Experience with/interest in qualitative coding
Time period: Flexible start date, 8–12 weeks
Location: Maastricht/online