Projects / Programmes
Slovenian Artificial Intelligence Observatory
| Code |
Science |
Field |
Subfield |
| 2.07.00 |
Engineering sciences and technologies |
Computer science and informatics |
|
| Code |
Science |
Field |
| 1.02 |
Natural Sciences |
Computer and information sciences |
Artificial Intelligence, observatory, text analysis, semantic analysis, knowledge graph, network analysis, data visualization, temporal analysis, policy recommendation
Researchers (12)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
32873 |
PhD Luka Bradeško |
Computer science and informatics |
Researcher |
2021 - 2022 |
45 |
| 2. |
22278 |
PhD Janez Brank |
Computer science and informatics |
Researcher |
2021 - 2023 |
99 |
| 3. |
17137 |
Marko Grobelnik |
Computer science and informatics |
Technical associate |
2021 - 2023 |
445 |
| 4. |
34319 |
PhD Alenka Guček |
Computer science and informatics |
Researcher |
2023 |
80 |
| 5. |
53454 |
Jakob Jelenčič |
Computer science and informatics |
Junior researcher |
2021 - 2023 |
12 |
| 6. |
31885 |
PhD Aljaž Košmerlj |
Computer science and informatics |
Researcher |
2021 - 2022 |
34 |
| 7. |
33425 |
PhD Jurij Leskovec |
Computer science and informatics |
Researcher |
2021 - 2023 |
281 |
| 8. |
12570 |
PhD Dunja Mladenić |
Computer science and informatics |
Head |
2021 - 2023 |
669 |
| 9. |
53884 |
Erik Novak |
Computer science and informatics |
Researcher |
2021 - 2023 |
33 |
| 10. |
34646 |
PhD Inna Novalija |
Computer science and informatics |
Researcher |
2021 - 2023 |
65 |
| 11. |
21315 |
PhD Polona Škraba |
Physics |
Researcher |
2021 - 2023 |
45 |
| 12. |
32381 |
PhD Primož Škraba |
Mathematics |
Researcher |
2021 - 2023 |
133 |
Organisations (1)
| no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
| 1. |
0106 |
Jožef Stefan Institute |
Ljubljana |
5051606000 |
91,500 |
Abstract
The purpose of the project is to establish a system for real-time observation and measurement of the developement of Artificial Intelligence (AI) in Slovenia, both within the country and in relation to world events. The observatory will include the observation of the ecosystem in which AI is evolving and how AI is affecting this ecosystem. The main result of the project will be a system that will help decision-makers, the economy, the research sphere and education in understanding evolving events related to AI locally and globally and to identify what is needed for the positive development of the field in Slovenia. The working name of the National Artificial Intelligence Observatory in Slovenia, which will be used during this document, is SiAi (read 'shine'). The backbone of the SiAi system will be the observation and measurement of AI through 12 analytical dimensions that define the ecosystem in which AI innovations develop from their emergence in academia, use in the economy, to impact on society and regulation. The dimensions of the observation will include: (1) academic publications, (2) patents, (3) open source projects, (4) publicly funded projects, (5) companies, (6) investments, (7) the labor market, (8) market movements, (9) educational programs, (10) the media, (11) regulation, and (12) impacts on society. The project will consist of several segments that will collect, edit, analyze and display individual components of each previously listed dimension. The key analytical functionality will be the integration of dimensions into a single data space, where it will be possible to observe interactions between dimensions, predict and simulate the consequences of possible interventions in the national and global ecosystem of AI. The system will monitor development according to the mentioned dimensions in Slovenia, Europe and globally. Special emphasis will be placed on the observation and analysis of events in Slovenia. The European and global space will primarily be used in comparison with Slovenia and for the purpose of observing global trends in the development of AI. SiAi, as planned, will be an autonomous system that will use open and commercial data sources and the analytical logic developed in the project. In the preparation and development of the system, we will methodologically rely on certain existing systems in the world that monitor various aspects of the state and development of AI - this includes specific AI monitoring systems (EC / JRC AI Watch, Stanford AI Index, OECD AI Policy Observatory) , as well as more general systems and indicators for monitoring digitalisation in countries (EC Digital Economy and Society Index / DESI index, World Bank Digital Adoption Index, digitization indicators of the Statistical Office of the Republic of Slovenia). The key users of the SiAi system will be: (a) decision-makers in public administration (competent ministries and agencies) who define state development policies and relevant regulations, (b) the economy, which will have an overview of local and global developments in the field of AI, (c) education that will facilitate the development of relevant topics for teaching; and (d) the research sphere that will have ongoing analytical insight into current trends both in the world and at home. The system is designed in a way which will, with appropriate adaptations, make it applicable to other countries and environments, and will thus enable the expansion of Slovenian technology across national borders.
