Slovenia AI Strategy Report
Slovenia AI Strategy Report - AI Watch - European Commission
In August 2020, the Slovenian Government released for public consultation a draft National programme promoting the development and use of AI in the Republic of Slovenia by 2025 (NpUI). The programme outlines strategic objectives and concrete measures spanning human capital, research and innovation, networking, regulation, and infrastructure, backed by EUR 110 million of public funding. It aims to foster a supportive ecosystem, enhance international competitiveness, and increase public trust in AI through ethical and legal frameworks.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for policymakers, researchers, companies, and educators interested in Slovenia's national priorities and funding plans for artificial intelligence.
What the document contains
The document addresses national strategic objectives for artificial intelligence, covering human resource development, research excellence and commercialization, stakeholder networking, regulatory and ethical frameworks, and foundational data and computing infrastructure.
Specific legally binding penalties for AI violations or detailed technical compliance checklists are not detailed in the summary text.
- Slovenia earmarked EUR 110 million of public funding to implement its national AI strategy objectives until 2025.
- The strategy emphasizes updating educational curricula across all levels to include digital and computational thinking topics.
- Support measures target all technology readiness levels, from basic AI research to reference implementations in key sectors.
- A national AI observatory is proposed to monitor the development and uptake of AI using specific indicators.
· Human capital · From the lab to the market · Networking · Regulation · Infrastructure · Climate and environment · COVID-19 pandemic · Monitoring and future update
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
Analysis of the appropriate legal and ethical framework for the development, implementation and application of AI-based systems, especially in decision-making systems on the rights and obligations of natural and legal persons
Regulation
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
The successful deployment of AI lies on defining principles for a human-centred, trustworthy, fair, transparent and sustainable development of this emerging technology.
Regulation
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
The successful deployment of AI lies on defining principles for a human-centred, trustworthy, fair, transparent and sustainable development of this emerging technology.
Regulation
screening score · 2026-10-23
Human Oversight
3/5Humans remain in control of consequential decisions
The successful deployment of AI lies on defining principles for a human-centred, trustworthy, fair, transparent and sustainable development of this emerging technology.
Regulation
screening score · 2026-10-23
Privacy
1/5Protection of personal data and private life
Ensuring an appropriate ethical and legal framework to increase public trust in AI
AI report
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
The successful deployment of AI lies on defining principles for a human-centred, trustworthy, fair, transparent and sustainable development of this emerging technology.
Regulation
screening score · 2026-10-23
Enforcement
4/5Consequences and compliance mechanisms with real force
Creating a national supervisory mechanism to verify the compliance of AI systems with both the EU legislation and the EU’s ethical guidelines
Regulation
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Analysis of the appropriate legal and ethical framework for the development, implementation and application of AI-based systems, especially in decision-making systems on the rights and obligations of natural and legal persons in terms of the adequacy of different AI models
Regulation
screening score · 2026-10-23