Record STMT-W044D51Aspirational

Concept for the development of artificial intelligence in Bulgaria until 2030

Strategy State lawEastern Europe · BGadopted

The Concept for the development of artificial intelligence in Bulgaria until 2030 sets out policy initiatives for the development and use of AI in Bulgaria for the period 2020-2030. Developed by the Bulgarian Academy of Sciences and finalised by the Ministry of Transport, Information Technology and Communications, the strategy addresses human capital, research and innovation, infrastructure, societal trust, and regulatory frameworks. Priority sectors for AI adoption include smart agriculture, health care, and public administration.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Ministry of Transport, Information Technology and CommunicationsGovernment (executive) · BG

Lead issuer

Bulgarian Academy of SciencesAcademic · BG

Contributor

Legal forceAspirational

Under whose authorityState law

Judged fromfull text

Who it governs

National governmentPublic sector bodiesCompaniesResearchers and academics

This document is for policymakers, researchers, educators, and industry stakeholders interested in Bulgaria's national approach to artificial intelligence development.

Sectors

Cross-sectorHealthcare · health careAgriculture and food · smart agriculture

What the document contains

What's covered

The document covers policy initiatives, educational reforms, research and innovation measures, digital infrastructure investments, and regulatory approaches related to artificial intelligence in Bulgaria through 2030. It details specific implementations across education, healthcare, smart agriculture, public administration, and networking.

What's missing

Specific binding legal penalties for non-compliance or detailed technical specifications for individual AI deployments are not detailed in the text.

Key takeaways

Bulgaria's national AI strategy outlines a comprehensive vision for AI development and adoption spanning from 2020 to 2030.
Key strategic focus areas include human capital development, research excellence, innovation infrastructure, and public trust.
Priority thematic sectors designated for early AI integration are smart agriculture, health care, and public administration.
The strategy emphasizes establishing a regulatory framework for reliable AI aligned with international ethical and legal standards.

Principles it states

respect for fundamental rightsnon-discriminationprotection of personal data

Outline

· Human capital
· From the lab to the market
· Smart agriculture
· Health care
· Public sector
· Networking
· Regulation
· Infrastructure
· AI to address societal challenges
· Monitoring and future update

IssuedDecember 2020

Length2,316 words

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

Creating a toolkit to stimulate the adoption of safety and legal responsibility principles among actors involved in the development, deployment and use of AI technologies.

Regulation

screening score · 2026-10-23

Fairness

2/5

Non-discrimination and equitable treatment

The principles of respect for fundamental rights, non-discrimination and the protection of personal data should be seen as an integral part of the regulatory framework

Regulation

screening score · 2026-10-23

Human Dignity

2/5

Respect for the inherent worth of persons

The principles of respect for fundamental rights, non-discrimination and the protection of personal data should be seen as an integral part of the regulatory framework

Regulation

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-23

Privacy

3/5

Protection of personal data and private life

Establishing guidelines for anonymisation and pseudonymisation of personal data for the purpose of sharing health data, with clear rules on transparency, governance and privacy protection.

Infrastructure

screening score · 2026-10-23

Transparency

2/5

Openness about how AI systems work and are used

Establishing guidelines for anonymisation and pseudonymisation of personal data for the purpose of sharing health data, with clear rules on transparency, governance and privacy protection.

Infrastructure

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Establishing a national framework to assess the impact and risks associated with the development of AI technologies.

Regulation

screening score · 2026-10-23

Topics

Physical AI Governancesupporting

artificial_intelligence national_strategy research_and_development digital_infrastructure trustworthy_ai