University of Twente Student Theses
From Principles to Practice : A Tailored Maturity Model for Responsible AI in Public Sector Organisations
Willems, W.J.M. (2025) From Principles to Practice : A Tailored Maturity Model for Responsible AI in Public Sector Organisations.
PDF
1MB |
Abstract: | This thesis introduces the Responsible AI Maturity Model (RAI-MM), specifically designed for public sector organisations to bridge the gap between high-level ethical principles and their practical implementation. The rapid advancements in AI, growing labour shortages, and the emergence of new AI regulations underscore the need for new tools. The research employs a Design Science Research Methodology (DSRM), following the procedural model outlined by Becker et al. (2009). The study unfolds in three key phases: (1) a systematic review and comparison of 22 existing AI maturity models, (2) the creation of a novel maturity model through a three-round Delphi study involving experts from academia, consultancy, and public sector organisations, and (3) an empirical validation of the RAI-MM through two case studies and two expert sessions. The resulting RAI-MM is an empirically validated framework comprising five dimensions: Strategy, Culture & Competences, Governance & Processes, Data & Information, and Technology & Tooling. These dimensions encompass twenty specific items designed to evaluate and enhance the maturity of public organisations in adopting responsible AI practices. The evaluations demonstrate the adequacy of the model to evaluate responsible AI capabilities with public sector organisations. |
Item Type: | Essay (Master) |
Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
Subject: | 50 technical science in general, 85 business administration, organizational science |
Programme: | Business Information Technology MSc (60025) |
Link to this item: | https://purl.utwente.nl/essays/106082 |
Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Repository Staff Only: item control page