The OECD.AI Policy Navigator

This study assesses the applicability of generative AI for analysing procurement documentation related to EU-funded projects. It evaluates AI solutions’ technological readiness, quality, and accuracy in text analysis and response generation in Latvian, aiming to develop recommendations and test AI prototypes for public sector applications.

This initiative aims to create a unified and centralised platform for managing government institutions' websites, improving public access to information and ensuring compliance with accessibility requirements under Directive 2016/2102. The platform enhances resource efficiency through a unified content management system and integrates 55 public authorities into a single system`.

AI is used to improve the accuracy of cadastral data by updating national records on buildings. The system reduces administrative burden and reliance on property owners for data updates, ensuring more efficient and resource-effective land and property management.

The Centre for Excellence in Language Technology is a Latvian initiative focused on training specialists in language computing technologies, developing advanced digital skills modules, and creating innovative solutions in this field. It also supports the production of scientific publications and contributes to impactful projects, such as Tilde’s award-winning AI tools.

This project focuses on AI adoption in local and regional governments, addressing both opportunities and challenges. It aims to improve public services, enhance governance efficiency, and mitigate risks related to AI in municipal administration, such as security, ethics, and trust. The initiative supports responsible AI governance in cities and regions.

This pilot project explores AI applications in tax administration by using AI tools to generate responses on labour taxes and related topics, such as income tax, payroll deductions, and state social insurance contributions. The goal is to improve response efficiency and accuracy in handling taxpayer inquiries.

This foundational AI training programme for 1,000 public administration employees is structured into four modules: i) Introduction to AI, ii) AI Concepts and Applications, iii) AI Issues and Ethics, and iv) Future and Practical Use of AI. It aims to improve AI literacy in public administration and encourage AI adoption in government services.

A strategic partnership has been established between Microsoft and the Ministry of Economics, the Ministry of Smart Administration and Regional Development, the Investment and Development Agency of Latvia (LIAA), and the State Digital Development Agency. The MoU focuses on establishing a National Centre for AI and accelerating digital transformation in public administration to enhance service delivery and efficiency.

Latvia is in the process of developing its first National Data Governance Strategy, aiming to establish a comprehensive framework for data management across the public and private sectors. The strategy will address key aspects such as technical, semantic, legal, and organizational interoperability to enhance data sharing and utilization. Approval of the strategy is anticipated by the end of 2025.

This AI solution aims to optimise outpatient scheduling by predicting and reducing patient no-shows. The system will enable better appointment management for chronic patients and improve access to healthcare services. The project is part of Latvia’s national healthcare digitalisation efforts.

The Latvian portion of the project aims to create a reference genome using 3,500 samples from Latvian residents. This will contribute to a broader European initiative to build a reference genome database representing genetic variation across at least 500,000 citizens.

The management of digital development in the health sector will be transferred to the new Latvian Digital Health Centre in September 2024. The establishment of the Digital Competence Centre for the health sector, backed by government support, will propel the evolution of digital health.

This first AI-driven virtual assistant for a medical institution in the Baltics provides real-time responses to patient inquiries, offering information on doctor schedules, appointment availability, medical procedures, pricing, and hospital navigation. The chatbot processes 70–100 inquiries daily and is designed to improve patient communication and accessibility.

This AI-powered diagnostic tool supports doctors in identifying precancerous stomach inflammation and developing personalised treatment strategies. The system enhances early detection of gastric cancer and provides tailored recommendations for patient health monitoring. Researchers from the University of Latvia are training AI models to recognize cancer cells with an accuracy of 92%.

In collaboration with Switzerland, Latvia is working on improving the approach to diagnosis and personalised treatment by creating a monitoring system for long-term support of children with cancer. In the future, this system will also be developed for adult oncological and rare disease. This project uses advanced genetic diagnostics and artificial intelligence (AI) to analyse patient data and create personalised treatment plans for patients.

Building on the Digital Transformation Guidelines 2021–2027, this initiative is aimed at updating Latvia’s approach to open data management in order to enhance data access and usage for societal and economic benefits.

Latvia plans to join the Chips JU and establish a national semiconductor competence centre. The initiative aims to strengthen the national semiconductor ecosystem and is supported by multi-year co-funding.

​DAGR is a next-generation data exchange and governance platform enabling secure data sharing across government, business, and citizen interactions. It will consolidate all government data sources into a single access point by 2030, streamlining public sector operations and reducing administrative burdens. The platform will also support emerging digital initiatives such as the European Digital Identity Wallet and AI training.

Signed by 12 partners during the 5G Techritory event, the MoU aims to establish a partnership for developing Latvia’s semiconductor ecosystem. Coordinated by Riga Technical University and open to international collaborators. Since December 2024, 5 additional partners have signed the MoU. the MoU of a total of 17 partners aims to establish a partnership for developing Latvia’s semiconductor ecosystem. Coordinated by Riga Technical University and open to international collaborators.

Latvia participates in IPCEI working groups on Microelectronics, Cloud Data, and Health to advance innovative technologies and meet digital and green goals. RRF funding supports these projects.