Latvia AI Strategy Report
Latvia AI Strategy Report - AI Watch - European Commission
In February 2020, the Latvian Government released its national AI strategy aimed at promoting the uptake and growth of AI across the entire economy, with a particular focus on the public administration. The strategy outlines policy actions spanning education, research and development, industry deployment, networking, legal and ethical frameworks, and data and digital infrastructure. It identifies priority application sectors such as transport, culture, justice, agriculture, and healthcare, and establishes mechanisms for regular monitoring and future updates.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This report is for policymakers, researchers, and industry stakeholders interested in understanding Latvia's national policy directions and strategic priorities for artificial intelligence.
What the document contains
The document covers Latvia's national strategy for artificial intelligence, addressing human capital and education reforms, research and commercialization from lab to market, national and international networking, regulatory and ethical frameworks, and data and computing infrastructure. It also outlines specific AI initiatives targeted at priority sectors, environmental protection, and public administration services.
Detailed binding legal texts, specific enforcement mechanisms, and granular technical specifications for AI systems are not present in this summary report.
- Latvia released its national AI strategy in February 2020 to promote AI uptake and growth across the economy and public administration.
- The strategy emphasizes education reforms and online training courses to improve AI awareness and competencies at all levels.
- Priority sectors for AI applications include transport, culture, justice, agriculture, healthcare, and machine translation.
- The government plans to develop a new legal environment for AI, establish regulatory sandboxes, and build upon existing product safety and liability directives.
- Data governance and digital infrastructure improvements, such as open data portals and high-performance computing centers, are central to supporting AI developments.
· Raising the awareness of and competencies in AI across society through education reforms · Promoting the adoption and development of AI in the public and private sector · Engaging actively in national and international cooperation · Developing a solid legal and ethical framework for AI · Unleashing the benefits of a well-developed data ecosystem · Investing in a digital and telecommunication infrastructure to support AI developments
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Regulation
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
Regulation
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Regulation
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
From the lab to the market
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
Infrastructure
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
Infrastructure
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Regulation
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
Regulation
screening score · 2026-10-23