Introduction
This page reports a synthesis of the main elements that characterise the national AI strategy with a specific focus on the public sector. It extracts the information related to a single country from a comparative analysis done by the AI Watch team and reported in full in the science for policy report “AI Watch. European Landscape on the Use of Artificial Intelligence by the Public Sector”.
Main highlights
- Public administration regarded as a key area for AI-based applications
- Key objective is to improve provision of private and state data for AI development
- AI training programmes will be prepared for experts in the public administration
- A research cluster will be established for researching AI in the public sector
Strategy analysis
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Learning by doing |
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Stimulating awareness and knowledge sharing |
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Ethical and legal framework |
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Improving data access and quality |
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Funding and procurement |
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Improving internal capacity |
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Comment
The strategy highlights some pilot project already developed in the public sector. However, the use of AI is currently limited to few organisations, according to the document. Therefore, the government aims to introduce a variety of initiatives to spread and apply AI technologies.
To do so, the strategy points the need for improving data quality and access. private sector data, a Data market platform will be introduced. Public sector data will be made available by a new institution, the National Data Assets Agency. Public funding will be made available to allow open access high value data inventories of the public sector.
AI programmes will be prepared for experts and a data asset management training for public servants.
Regarding ethical frameworks, an AI regulatory environment will be included and updated over time, which includes, for example, a Code of Ethics to ensure human-centricity and ethical AI. A new institution, the AI Regulation and Ethics Knowledge Centre (MISZET) will be tasked with resolving legal and ethical issues.