Lithuania - AI Strategy

Overview

The Lithuanian Artificial Intelligence Strategy: A Vision of the Future (2019) is a national strategic document drafted under the leadership of the Ministry of Economy and Innovation. Its stated mission is "to modernise and expand the current AI ecosystem in Lithuania and ensure that the nation is ready for a future with AI." The strategy was prepared in consultation with private-sector firms, universities and public bodies and is presented as a set of recommendations, mechanisms and actions rather than a binding legal instrument. The full strategy text can be read in English in the official publication: Lithuanian Artificial Intelligence Strategy: A Vision of the Future (Ministry of Economy and Innovation, 2019). The document analyses Lithuania's strengths (active AI SMEs, strong ICT education, language technology expertise) and weaknesses (limited hardware resources for research, constrained private investment) and frames policy actions around human capital, research and innovation, data infrastructure, ethical and legal guidance, public sector adoption and international cooperation.

Definitions

The strategy adopts a practical working definition of artificial intelligence consistent with the European Commission's descriptions: AI systems are technologies that display intelligent behaviour by analysing their environment and taking actions — with some degree of autonomy — to achieve specific goals. The document distinguishes software-based AI (voice assistants, image analysis, search engines, speech and face recognition) from embedded AI in hardware (robots, autonomous vehicles, drones, IoT). The strategy also clarifies terms used in its recommendations, including "regulatory sandbox," "AI ethics committee," "research centre," "open data hub," and references FAIR (Findable, Accessible, Interoperable, Reusable) data principles when discussing data infrastructure for AI.

Governance and Institutional Framework

The strategy assigns lead coordination to the Ministry of Economy and Innovation while proposing a multi-stakeholder institutional architecture. Key institutional proposals include the creation of an AI Advisory Board to inform policy, an AI Ethics Committee to develop ethical guidelines and oversight recommendations, and a National AI Research Centre to consolidate research capabilities and foster technology transfer. Implementation measures identify collaboration with the Agency for Science, Innovation and Technology (MITA), the Ministry of Education and Science, universities (Vilnius University, Kaunas University of Technology and others), and private stakeholders. For public-sector modernization and GovTech engagement the strategy recommends establishing "regulatory sandboxes" and piloting environments to test AI solutions under controlled conditions. The strategy text and the Ministry's AI policy pages provide more context: Ministry of Economy and Innovation – Artificial Intelligence and the national strategy PDF: A Vision of the Future (2019).

Key Focus Areas

The strategy organizes actions across six pillars: (1) Ethical and legal core principles — promote explainability, fairness, transparency and human-centric AI; (2) A landscape assessment — map academic, industry and community strengths and gaps; (3) Integration across sectors — prioritise high-potential areas (manufacturing, agriculture, healthcare, transport, energy); (4) National skills development — reform education at primary, secondary, tertiary and vocational levels and provide lifelong learning and vocational retraining; (5) Growth of R&D — create funding instruments, scholarships, PhD support, and a national AI research centre; (6) Responsible and efficient data approaches — improve open data usability, adopt FAIR principles and strengthen language resources for Lithuanian to enable natural language technologies. The document highlights specific initiatives such as the localisation of the "Elements of AI" course, public procurement that favours GovTech, start-up acceleration and an AI start-up hub. It also emphasises investments in language datasets and tools to ensure Lithuania’s linguistic resources are ready for AI developers, and recommends incentive schemes (badges, seals) to promote trustworthy AI products.

Implementation Framework

The implementation model presented is a voluntary, phased approach combining policy instruments and non-binding guidance. The strategy proposes: targeted funding calls and financial measures to support startups and research; institution-building (AI Advisory Board, Ethics Committee, National Research Centre); capacity-building in the public sector through training and pilot projects; regulatory sandboxes to enable experimentation with limited legal exemptions under supervision; and the development of guidance on unbiased algorithms. Ministries are assigned thematic responsibilities (education, economy, data governance, research funding) and the strategy foresees collaboration mechanisms with regional partners and EU platforms. The strategy intentionally relies on existing legal frameworks where appropriate and recommends alignment with EU guidance and standards to reduce fragmentation and promote interoperability.

Monitoring and Evaluation

The strategy recommends periodic monitoring, public reporting and a formal review cycle to assess progress and update priorities; an initial review was envisaged for 2021. Monitoring mechanisms include KPI tracking (R&D spending, number of AI startups, public-sector AI adoption), independent advisory input from the proposed AI Advisory Board and Ethics Committee, and use of digital platforms for stakeholder feedback. The strategy encourages data-driven evaluation and alignment with EU benchmarking (e.g., Government AI Readiness, DESI) while also urging domestic indicators related to skills uptake, language resource creation and public trust in AI.

Penalties, Liability, and Appeals

As a strategic, non-legislative document, the strategy does not itself create new penalties or a dedicated liability regime. Instead, it recommends the development of ethical guidance and potential legal proposals to address liability and redress consistent with EU law. Enforcement and penalties for AI-related harms remain governed by existing national and EU frameworks (notably data protection rules under the General Data Protection Regulation and national liability law). The strategy suggests that any future binding measures should specify clear pathways for redress, transparency and accountability for high-risk applications.

Relationship to Other Instruments

The strategy explicitly positions itself to complement and align with European Commission initiatives and instruments (including the EU ethical guidelines for Trustworthy AI) and with national laws such as the GDPR. It references national policy instruments and funding programmes (e.g., long-term investment and innovation funds) and sectoral legislation that may interface with AI deployment (e.g., autonomous driving rules). The document encourages leveraging EU Digital Innovation Hubs and regional Baltic partnerships for joint initiatives and cross-border data and research projects.

International Alignment

Lithuania’s strategy stresses international cooperation and alignment with EU frameworks and standards to ensure interoperability and shared ethical norms. The document calls for active participation in EU-level initiatives, collaboration with neighbouring Baltic states, and partnerships with global technology firms and research institutions. Alignment is recommended across standards, data governance (FAIR principles) and ethical frameworks, with the strategy explicitly proposing that Lithuania adopt EU best practices where possible and contribute to shaping pan-European AI governance.

Implementation Timeline

Sources and References