Master AI4Gov
Artificial Intelligence for Public Services
This comprehensive database is the result of master thesis research conducted as part of the Master AI4Gov program (Master in Artificial Intelligence for Public Services). The research focuses on analyzing AI use case transferability to the Western Balkans region, providing actionable insights for responsible AI adoption in both public and private sectors.
Thesis Title
AI-Driven Service Design in the Western Balkans: A Use Case Library and Guidelines for Responsible Adoption in Public & Private Sectors
- 1
Identify Transferable AI Solutions
Analyze international AI implementations and assess their applicability to Western Balkans contexts
- 2
Provide Evidence-Based Guidance
Offer practical frameworks and guidelines for responsible AI adoption in the region
- 3
Support Decision-Making
Enable policymakers and practitioners to make informed decisions about AI implementations
- 4
Address Regional Challenges
Consider local context, regulatory alignment, and technological maturity in transferability assessments
The database integrates 2,057 AI use cases from multiple authoritative sources:
Public Sector Tech Watch (PSTW)
A comprehensive database maintained by the European Commission's Joint Research Centre, documenting AI implementations across European public administrations. This provides the majority of cases with detailed information on sectors, technologies, and outcomes.
Original Curated Dataset
A carefully curated collection of AI use cases specifically selected for their relevance to Western Balkans contexts, including cases from the region itself and similar emerging economies. Each case includes detailed transferability analysis.
Additional Sources
Supplementary cases from academic research, international organizations (UN, World Bank), government reports, and industry publications, documented in each individual case entry.
2,057
Total Cases
82
Geographic Locations
19
Sectors
79.6%
High Transferability
This research employs a sequential exploratory mixed-methods approach, combining qualitative and quantitative analysis to assess AI use case transferability:
Qualitative Exploration
Case study analysis and expert interviews to identify transferability factors
Quantitative Analysis
Large-scale dataset analysis using harmonized taxonomies and statistical methods
Transferability Assessment
Multi-dimensional evaluation considering regulatory alignment, technological maturity, and implementation context
Assessment Dimensions
Authors
Program
Master AI4Gov - Master in Artificial Intelligence for Public Services
An interdisciplinary program focused on responsible AI implementation in public sector contexts, combining technical expertise with policy understanding and ethical considerations.