📋 Tender Overview
The Ministry of Digital Transformation has adopted two important documents that set guidelines for the responsible handling of data and artificial intelligence (AI) in the public sector. These are the Data Semantic Guidelines and the Guidelines for the Development, Implementation and Use of Artificial Intelligence in Public Administration, which represent an important step towards a safe, efficient and coordinated digital transformation of public administration.The Data Semantic Guidelines define the use of data management standards and semantic interoperability. Their key goal is to improve the exchange of data and ensure compliance with European and international recommendations, good practices and standards. They are intended for public sector bodies and also for a wider circle of stakeholders, such as developers, researchers and other users of data and information services.
The document was prepared in cooperation with the University of Ljubljana, Faculty of Computer Science and Informatics, as part of the Development of new dynamic e-services (DES) project. The project is co-financed by the Republic of Slovenia and the European Union from the Recovery and Resilience Plan. The entire document, summary and additional materials are available on the NIO portal.
The second document, Guidelines for the Development, Implementation and Use of Artificial Intelligence in Public Administration, is intended for public administration bodies as implementers and providers of AI systems. It offers practical, legal and ethical starting points for the safe, responsible and effective use of artificial intelligence both in work processes and in services for citizens and companies.
The guidelines also include two annexes. The first contains recommendations for the use of publicly available generative artificial intelligence tools intended for public administration employees. The second annex defines the exit strategy when using cloud services and defines security requirements and recommendations regarding the processing of protected data in artificial intelligence systems.
Both documents are available on the NIO portal and represent important support in the introduction of modern digital solutions in public administration, while simultaneously ensuring security, transparency and accountability.
