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Artificial Intelligence in Public and Private Sectors in Poland and the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60456540%3A_____%2F20%3AN0000098" target="_blank" >RIV/60456540:_____/20:N0000098 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Artificial Intelligence in Public and Private Sectors in Poland and the Czech Republic

  • Original language description

    The potential of artificial intelligence is growing every day. At the beginning of this decade, the technological world had 25 times more data at its disposal than at the beginning of the previous one. This, along with the acceleration in the development of neural networks over the course of about 10 years, favours its further applications. Today, they are also used by the public and private sectors in the Czech Republic and Poland. Both our countries have similar ambitions to use artificial intelligence to accelerate development, and thus make up the technological and economic gap that separates us from the rest of Western Europe. In this report, we look at these intentions, and try to assess how far the process has advanced and what else can be done to accelerate it. In particular, we analyse the importance of AI in the policies of both countries. The mechanisms of financing AI technologies and the degree of their use in the reform of the decision-making process by the state administration, the state of education and research, and the advancement of academia. Also, the impact of artificial intelligence on the labour market in Poland and the Czech Republic. We also present examples of AI applications in both sectors, and the most interesting initiatives to fight the Covid-19 pandemic using AI. The information collected by the authors from both countries is the result of extensive research and analysis, as it is not widely available. We used both "desk research" and in-depth interviews with entrepreneurs and representatives of public administration on the use of AI in their companies and institutions. We also tried to determine the scale of the implementation of AI systems and related challenges by surveying a group of 50 public institutions and 50 enterprises in each country.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    50602 - Public administration

Result continuities

  • Project

    <a href="/en/project/LTI20006" target="_blank" >LTI20006: Strategic information for international research (STRATIN)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů