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”.
- AI and data science are seen as important tools for better public services and public policies
- Continued to fund collaborative projects to foster AI in public administrations
- Creation of a data infrastructure acting as a centralised repository for administrative data
- Make administrative data easier for research units and, public and private to access providing a secure access and respecting personal privacy issues
- Data science and AI skillset programme for public administration will be reinforced
- Establishment of a Collaborative Laboratory for AI in the public sector, public sector organizations will be inserted in the ethics committee for AI
Learning by doing
|Stimulating awareness and knowledge sharing|
Ethical and legal framework
|Improving data access and quality|
Funding and procurement
|Improving internal capacity|
Tre strategy aims at reinforcing AI and data science skill qualification programmes within the public sector. Trainings on data management are seen as key for Portugal. The strategy aims to contribute to strengthening the scientific and technological competencies to deal with the large amounts of data within the Portuguese public administration.
•Collaborative projects between the public, private and/or academic sector will be funded. In particular a specific programme (“’Mobilising programme to foster AI in public administration’”) is funding 19 R&D projects.
On data, the strategy aims at making administrative data more easy to access by academic, public & private actors while providing a secure and privacy-protecting access. For doing so, a National Data Infrastructure will be developed and will act as a centralised repository for administrative data