Transparency in the use and utilisation of information and developments and inno-vations in technology
The public sector promotes government openness by opening public interfaces if there are no specific reasons to keep them restricted.
The process will prioritise the most influential data resources. Easy-to-use, developer-friendly interfaces that follow the outlines of standard architecture will be developed to access public administration data resources. The data available on the interfaces will be recorded using standard procedures into a machine-readable and -interpretable format in order to make it easier to benefit from. The guidance needed in order to open the data and create the interfaces will be provided. A successful user experience of the data and its easy accessibility will lower the threshold of using the data and increase its usage. As a result, data producers will be more motivated to improve the quality and usability of data and data resources. The objective of this is to achieve a virtuous circle in which the quality of data will be improved and it will provide benefits, and the benefits of open data will spread far and wide inside society, also when companies join to become producers of open data. These measures will acknowledge the outlines and development measures of the European Union within this theme, including the Open Data Directive (EU/2019/1024), also known as the PSI directive.
The requirements concerning data protection and the data confidentiality regulations will be taken into account when plans are made for opening up data.
The project will be completed in a cross-administrative effort of cooperation, so that the accumulation of data will not put the data security of public administration at risk.
Quality criteria: Quality criteria intended to facilitate the utilisation of data will be prepared.
Quality improvement measures following the quality criteria will be primarily applied to the most significant data resources in the data opening process. Setting quality criteria and the extent of their validity will be planned to make up part of putting the quality criteria into practice.
Ethical guidelines: A general set of guidelines on the ethical use of artificial intelligence will be prepared in order to ensure that artificial intelligence will not utilise directly or indirectly discriminatory operational models in AI systems.
The measures to open public sector data will promote a data and AI policy that is ethically, financially and socially sustainable. Metadata that contributes to data resources management of high quality will also contribute to the creation of unified information resources required by machine-learning and AI in our linguistic area and, subsequently, the realisation of linguistic rights in an indirect manner.
Special groups will be consulted and the standards laid down in international human rights conventions and UN recommendations on the ethics of AI as well as data security questions will be acknowledged as a part of the preparatory process.
- The preparation of guidelines for the ethical use of artificial intelligence has begun.