Bulgaria - AI Regulation Draft (RAI-BG-NA-DAPBPXX-2025)
Draft AI Act presented by political party 'Da, Bulgaria'
Проект на Закон за изкуствения интелект, представен от политическа партия 'Да, България'
Bulgaria
RAI-BG-NA-DAPBPXX-2025Bulgaria - AI Regulation Draft (RAI-BG-NA-DAPBPXX-2025) is Draft in Bulgaria as of 10 Sep 2026, according to dabulgaria.bg.
BillGovernance and OversightConformity Assessment and RegistrationRisk ManagementA draft national law on artificial intelligence prepared and presented by the Da, Bulgaria party (authors: Bozhidar Bozhanov, Elisaveta Belobradova, Aleksandar Simidchiev). The bill aims to implement and complement the EU AI Regulation (Regulation (EU) 2024/1689), establish national coordination and governance structures, promote investment and skills, and regulate risk-based uses of AI in the public and private sectors.
Summary
The Draft AI Act prepared by the political party "Da, Bulgaria" (presented publicly on 23 September 2025) proposes a horizontal, national legal framework to govern the use, development and public-sector deployment of artificial intelligence systems in Bulgaria. The draft is explicitly designed to implement and clarify national application of the EU Artificial Intelligence Regulation (Regulation (EU) 2024/1689) while adding Bulgaria-specific measures to promote investment, workforce training, public-sector modernization, and protections for fundamental rights. Key structural proposals include the establishment of a National AI Coordinator (a single national contact point), a Consultative Council for Ethical AI (multi-stakeholder), obligations for providers and deployers of high-risk systems to conduct risk assessments and conformity assessments, and requirements for documentation and transparency (model cards / technical documentation) aligned with EU guidance.
The bill emphasises active state support for adoption: targeted public funding for AI pilot projects, incentives for private investment (tax measures and EU co-financing channels), public procurement guidance for trustworthy and open models, and measures to facilitate responsible access to national public-sector datasets. Notably, the draft proposes opening legacy public-broadcaster archives (BNT, BNR, BTA) for use as training datasets for open models under controlled conditions, subject to data-protection safeguards. The draft includes sectoral priorities (education, healthcare, public administration) and flags national security risks from malicious AI use, proposing tailored restrictions and oversight for security-sensitive applications.
On compliance and enforcement, the proposal leans on the EU risk-based approach: prohibiting clearly unacceptable practices (e.g., social scoring, unauthorized biometric mass surveillance), setting out conformity assessment procedures for high-risk AI, and creating registration and market-surveillance options at the national level. Enforcement measures include administrative fines, orders to suspend or withdraw systems, and remedies for harmed individuals. The draft positions Bulgaria to align administratively with the EU framework by naming national supervisory roles (data protection authority involvement for personal data issues, a dedicated AI oversight unit, and ministry-level coordination through the Ministry of Electronic Government). It also sets out provisions for monitoring, periodic public reporting, and stakeholder consultations.
The draft is presented as a policy package balancing innovation and trust: enabling state support to capture economic benefits and strengthening protections against risks to fundamental rights and national security. The draft was published for public discussion earlier in 2025 and formally presented at a public event on 23 September 2025. Primary sources for the initiative are the party's publication and official press coverage (see sources). As of retrieval (14 November 2025) the full legislative text is publicly described in the party press materials and national press agencies; a consolidated parliamentary submission or official OJ-style text had not yet been published on parliamentary information portals at that time.
Full article
Read full text ↗Overview
The Draft AI Act presented by "Да, България" (Da, Bulgaria) on 23 September 2025 sets out a national, horizontal framework to regulate the development, deployment and public-sector use of artificial intelligence in Bulgaria. The project states that it implements and clarifies the scope of Regulation (EU) 2024/1689 (AI Act) while adding national measures to support investment, training and secure public-sector adoption. The public presentation and explanatory notes are published by the authors and summarized by national news agencies; the party emphasises that the law is intended to both protect citizens' rights and boost competitiveness of Bulgarian IT and research sectors. Primary project announcement and materials can be found on the sponsoring party site and in national press reporting. Da, Bulgaria announcement (23 Sep 2025) and BTA press notice.
Definitions
The draft adopts an EU-aligned, technical set of definitions for terms such as "AI system", "provider", "deployer", "high-risk AI", "placing on the market", "conformity assessment", "personal/sensitive data", "model card", and "incident". Definitions are designed to mirror the EU AI Regulation so that national-level obligations apply to providers and deployers operating within Bulgaria or offering systems into the Bulgarian market. The bill clarifies that public-sector uses (administrative services, automated decision-support) and cross-border remote services targeted at Bulgarian citizens fall within scope. It also defines "open models" and provides an outline for controlled access to public archives for training such models.
Governance and Institutional Framework
The draft proposes creating a small, centralised National AI Coordinator (a single national contact point) supported by a multi-stakeholder Consultative Council for Ethical AI composed of government, academia, civil society and industry representatives. Operational oversight would be shared between the national coordinator, the Commission for Personal Data Protection (for data-protection issues and automated decision-making oversight), and the Ministry of Electronic Government (responsible for public-sector deployment and e-government integration). The bill also envisages a market-surveillance role for an AI oversight unit that will coordinate with the European AI Board. The party's materials describe the coordinator as a liaison to the EU structures and as a facilitator for funding and public procurement reforms. See the party announcement for governance outlines: public consultation note (04 Apr 2025) and the official press text.
Key Focus Areas
The draft concentrates on several interlocking policy goals: (1) Alignment and clarification of obligations under the EU AI Regulation at the national level; (2) enabling public-sector modernization by promoting trustworthy AI use in administrative services and sectoral public goods (healthcare, education, social services); (3) economic policy measures to stimulate private investment in AI (targeted funding, tax incentives, facilitation of EU funds and co-financing); (4) workforce development and upskilling for state employees and the wider labour force; (5) measures to open controlled public datasets (including archival media content) for non-commercial and research use to support local model development; and (6) national security safeguards to limit malicious AI use and protect critical infrastructure. The party documents highlight that the draft is intended to be non-restrictive for innovation while ensuring safeguards for rights and security. The BTA and national press coverage summarise these focus areas and stakeholder outreach. BTA announcement (23 Sep 2025).
Implementation Framework
Implementation follows a layered approach: providers and deployers of "high-risk" AI (as defined by the EU and national lists) must perform conformity assessments, produce technical documentation, and register systems with a national registry. The Ministry of Electronic Government would issue sector-specific guidance for public procurement and integration into e-government services. The National AI Coordinator would run an implementation helpdesk and coordinate funding streams for pilots and capacity-building. The draft envisages that public-sector procurement will include mandatory trustworthiness checks and model documentation requirements, and it suggests fast-track support for open-model initiatives using public archives under strict privacy and licensing conditions. Enforcement responsibilities are split between the data-protection authority (personal data matters), the national market-surveillance/AI oversight unit (conformity and market behaviour) and courts for civil claims.
Monitoring and Evaluation
The draft mandates periodic public reporting, continuous post-market monitoring of high-risk systems, and mandatory incident reporting for serious incidents and near-misses. The National AI Coordinator must publish an annual national AI report with metrics on adoption, incidents, enforcement actions and progress on skills and research investments. The law proposes an evaluation mechanism to measure economic impacts and rights-protection outcomes; it includes provisions for stakeholder consultations and a public registry of assessed high-risk systems. These monitoring provisions are intended to align national reporting with the European AI Board processes and the EU-level enforcement timeline.
Penalties, Liability, and Appeals
The draft foresees administrative sanctions for non-compliance (fines scaled to turnover or fixed maxima), orders to suspend or withdraw non-conforming systems, and requirements to remedy deficiencies within set timelines. Liability provisions include civil remedies for damages caused by AI systems and a framework to allocate responsibility between providers, deployers and integrators. The draft proposes administrative appeal routes and judicial review for enforcement decisions. While the party announcement and press coverage reference enforcement and penalties in principle, detailed fine schedules are to be set out in implementing rules and the final legislative text to ensure alignment with EU maxima and Bulgarian administrative procedure.
Relationship to Other Instruments
The proposal explicitly aims to implement and operate alongside the EU AI Regulation (Regulation (EU) 2024/1689) and to respect obligations under the General Data Protection Regulation (GDPR). It also references national administrative law, public procurement law and sectoral regulations (healthcare, consumer protection) as related legal instruments. The draft positions national measures as complementary clarifications rather than replacements for EU law, and seeks to ensure that public-data access and innovation support measures comply with copyright and data-protection regimes.
International Alignment
The draft frames Bulgaria's approach as closely aligned with EU regulation and the European AI Board's enforcement architecture, seeking interoperability with cross-border AI oversight and data-sharing principles across the Union. It recommends active participation in EU-level standardisation and encourages research partnerships with EU programmes. The proposal also commits to harmonising sanctions, conformity assessments and market surveillance approaches with other Member States to avoid market fragmentation. The sponsors underline that national measures are designed to be compatible with EU external obligations and to support Bulgarian industry in EU and international markets.
Implementation Timeline
| Milestone | Target date |
|---|---|
| Publication of draft for public consultation | 2025-04-04 |
| Public presentation (venue: "Peroto", NDK) | 2025-09-23 |
| Collection of signatures / parliamentary submission (anticipated) | 2025-Q4 (anticipated) |
| Parliamentary readings and committee review | 2026 (subject to legislative calendar) |
| Establishment of National AI Coordinator (if enacted) | Within 6 months of enactment |
Sources and References
| Source | Type |
|---|---|
| Da, Bulgaria — presentation and project announcement (23 Sep 2025) | Primary Source |
| BTA — press notice (23 Sep 2025) | Primary Source |
| Publications Office of the EU — Regulation (EU) 2024/1689 (AI Act) | Primary Source |
Requirements for a company
What an organisation has to do under Bulgaria - AI Regulation Draft (RAI-BG-NA-DAPBPXX-2025), at a glance. Not legal advice — the table below gives the provision and deadline for each item.
Not yet in force (Draft). These requirements apply once the instrument takes effect and may change before then.
Must do
9- Perform conformity assessments for high-risk AI systems.Providers and deployers of high-risk AI systems.
- Document a risk management system and mitigation plan.Providers and deployers of high-risk AI systems.
- Produce and maintain technical documentation for high-risk AI systems.Providers and deployers of high-risk AI systems.
- Register high-risk AI systems with the national registry.Providers and deployers of high-risk AI systems.
- Conduct continuous post-market monitoring of high-risk systems.Providers and deployers of high-risk AI systems.
- Report serious incidents and near-misses to authorities.Providers and deployers of high-risk AI systems.
- +3 more in the table below
Must not do
0Nothing in this category.
Should do
0Nothing in this category.
Should not do
0Nothing in this category.
Who must do what
The obligations under Bulgaria - AI Regulation Draft (RAI-BG-NA-DAPBPXX-2025), most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | Providers and deployers of high-risk AI systems. | Perform conformity assessments for high-risk AI systems. “providers and deployers of 'high-risk' AI... must perform conformity assessments” | Before placing on market | — | Critical |
| 2 | Providers and deployers of high-risk AI systems. | Document a risk management system and mitigation plan. “Risk assessment and mitigation... Documented risk management system and mitigation plan” | Before placing on market | — | Critical |
| 3 | Providers and deployers of high-risk AI systems. | Produce and maintain technical documentation for high-risk AI systems. “produce technical documentation” | Before placing on market | — | Critical |
| 4 | Providers and deployers of high-risk AI systems. | Register high-risk AI systems with the national registry. “register systems with a national registry.” | Before placing on market | — | Critical |
| 5 | Providers and deployers of high-risk AI systems. | Conduct continuous post-market monitoring of high-risk systems. “continuous post-market monitoring of high-risk systems” | — | — | Critical |
| 6 | Providers and deployers of high-risk AI systems. | Report serious incidents and near-misses to authorities. “mandatory incident reporting for serious incidents and near-misses.” | — | — | Critical |
| 7 | Public sector entities procuring AI systems. | Include mandatory trustworthiness checks in public procurement for AI systems. “public-sector procurement will include mandatory trustworthiness checks” | — | — | Critical |
| 8 | Public sector entities procuring AI systems. | Include model documentation requirements in public procurement for AI systems. “model documentation requirements” | — | — | Critical |
| 9 | Developers of open models using public archives. | Adhere to strict privacy and licensing conditions when using public archives for open models. “using public archives under strict privacy and licensing conditions.” | — | — | Important |
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© Regulations.AI · updated on 20 Sep 2026 · reviewed against official sources on 10 Sep 2026