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Morskie Oko, Zakopane, Poland — photo by @mariuszslonski

The Pathway to Poland’s AI Strategy

Artificial Intelligence Development Policy in Poland for 2019–2027 and the Collaboration of the Visegrad Group (V4)

Attempting to understand Poland’s current AI strategy was harder than expected, partly due to the Polish government website only being in Polish as well as all the strategic documentation and policy as far as I could tell. I could attempt learning the language, yet it is apparently one of the hardest languages to learn in the world.

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The country in dark green is Poland, and the light green the EU in its current shape (although UK will be leaving due to Brexit)

1. Why Does Poland Have a National AI Strategy?

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My head attempting to read Polish — Art loop by Ori Toor

It is important to note that the EU clearly stated that they wished member states would make national AI strategies in the declaration Poland signed in October 2017.

2. Poland’s path to the AI ​​Strategy

This is a timeline from the Ministry of Digitalisation in Poland that I found helpful, although it is lacking in regards to short summaries of the different documents:

3. The Visegrad Countries Stand on AI

As you might have spotted in the documents above there is a regional agreement on AI that Poland has committed to in 2018 through a position document.

  1. Czech Republic
  2. Slovakia
  3. Hungary
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Visegrad group from top to bottom geographically in dark blue is Poland, Czech Republic, Slovakia and Hungary
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  1. Launch of a pan-European initiative in the form of the creation of virtual data warehouses. This initiative can ultimately enable the opening of industrial data and, consequently, accelerate the research, development and implementation of artificial intelligence;
  2. The need to start a debate on the proper financing mechanism for digital technologies ;
  3. Creation of the so-called regulatory sandboxes at EU level that will support research and development in key sectors such as medicine, law, financial markets, services, the automotive market, agriculture, environmental protection, water management and the food industry;
  4. Analysis of the use of AI technology in the reform of the decision-making process by the state administration ;
  5. The need to focus on education and research, creating academic environments that support the development of this technology;
  6. Establishment of the European Artificial Intelligence Observatory ;
  7. Ensuring cyber security and trust;
  8. Investigate the impact of artificial intelligence on the labor market in Europe .

4. Artificial Intelligence Development Policy in Poland for the years 2019–2027

It seems what I have gotten ahold of so far is a consultation document, however it is a document more than a 100 pages long, so something can at least be deduced. Although it must be said everything must be taken with a grain of salt until I can get a Polish friend to read through it properly.

  1. Diagnosis. This maps out and provides an analysis of the Polish ICT sector and AI sector with a particular focus on labour (work and education). It goes through investment, financing and R&D spending.
  2. AI ecosystem and strategic factors of building AI potential in Poland. The present a framework for building an ecosystem; the international dimension; ethical dimension; legal dimension; standards; organisation and management; digital innovation hubs; various local actors; knowledge and competence; as well as investment and funding.
  • development of digital competences at all levels — standardization of trainings and requirements, principles of organization of trainings and apprenticeships from high school level to postdoctoral studies. Development of lifelong learning, creation of an employee development / retraining program;
  • supporting the possibility of creating inter-university networks to create consortia dealing with specific research problems (combining research potentials), including those participating in EU central programs — HORIZON EUROPE, DEP, CEF, etc .;
  • promotion of the latest technological solutions among entrepreneurs in order to raise the level of development and establish a dialogue with other EU economies;
  • supporting and promoting joint entrepreneurs’ solutions (e.g. joint R&D, exchange of experiences, cluster solutions);
  • supporting cooperation between academic centers and business entities, including foreign ones;
  • active cooperation in the European field in the field of creating common IT solutions (including small cross-border projects) — eGov;
  • supporting projects in the field of e -with drow, including activities aimed at interoperability of existing systems, with particular emphasis on projects aimed at care for the elderly;
  • supporting educational and cultural projects, with particular emphasis on the issues of reliability of sources, critical attitude towards them, preventing the spread of violence, etc .;
  • supporting projects in the field of cyber security;
  • supporting the creation of an API standard for access to industrial data;
  • open interoperability standards.

That is what I have found thus far and I am likely to update this article if you comment or I find out anything new on this topic.

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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