Name in original language
Návrh zákona o umelej inteligencii a európskej dátovej regulácii a o zmene a doplnení niektorých zákonov
Initiative overview
The Draft Act on Artificial Intelligence and European Data Regulation represents a crucial step in Slovakia's digital governance. It addresses the need for a robust institutional framework to enforce European regulations (EU AI Act, Regulation (EU) 2024/1689, and Data Act, Regulation (EU) 2023/2854).
Objectives: The primary objective is to create a trustworthy environment for AI deployment. The Act would establish the Office of Digital Integrity (Úrad digitálnej integrity) as a new central state administration body. This Office would serve as the market surveillance authority for AI, ensuring that high-risk AI systems meet safety and transparency requirements before entering the market.
Implementation & Evolution: The initiative would centralise digital supervision. Besides AI, the new Office would also handle competencies related to the Digital Services Act (DSA) and co-ordinate with cyber security bodies. The Act would create a "Permanent Commission for Digital Integrity" to facilitate cross-sectoral co-operation with other regulators (e.g. National Bank of Slovakia, Trade Inspection). Future evolution focuses on building the Office's capacity (hiring experts, establishing testing facilities) and fostering an ecosystem where innovation complies with ethical standards.
Evolution over time: Supervision is currently described as fragmented. The proposed Act would unify the oversight of digital technologies under one roof to prevent regulatory silos and ensure consistent application of EU law.
Results, outcomes and impacts
As the initiative is currently in the legislative process (proposed), the impacts are projected based on the Regulatory Impact Assessment (RIA).
Expected Outcomes:
- Institutional: Establishment of a fully functional Office of Digital Integrity by 2026.
- Legal: Harmonisation of Slovak law with EU standards, removing legal barriers for AI developers.
- Economic: Increased trust in digital products, fostering the data economy.
- Measurement: Success will be measured by the effective operationalisation of the Office, the number of supervised entities, and the efficient handling of complaints regarding AI systems.


























