This is a master thesis which constitutes the final part of the Master of Science in Business Information Systems (MSc BIS) program of the School of Business of the FHNW University of Applied Sciences and Arts Northwestern Switzerland. The master thesis aims to answer if a tool that indicates the potential risk of implementing off-the-shelf AI solutions supports the of organizations in the Swiss public administration to decide whether to introduce such solutions. The use of Artificial Intelligence (AI) is a growing trend for all kinds of organizations, including public sector organizations. It has the potential to transform the global landscape. AI can enhance public services, improve internal management, and support policymaking. But with AI also come new risks.

Using the Design Science Research (DSR) methodology, the study developed an assessment tool for preliminary risk evaluation of AI use cases, informed by principles from the EU AI Act. The artefact underwent iterative development across two DSR cycles and was tested by employees of Swiss public administration. Evaluations highlighted its utility and relevance, confirming its capacity to support informed decision-making regarding the adoption of off-the-shelf AI solutions.

The findings affirm that a tailored risk evaluation tool can effectively address the complexities of AI adoption in Swiss public administration. The study emphasizes the importance of future refinements to the tool, focusing on Swiss-specific legal and administrative requirements and emerging AI-related challenges. By fostering responsible AI adoption, the proposed tool contributes to building public trust and enhancing the effectiveness of AI-driven public services.