Policy for the Development of Artificial Intelligence in Poland from 2020
The Policy for the Development of Artificial Intelligence in Poland from 2020 outlines strategic objectives and actions across six areas: society, innovative companies, science, education, international cooperation, and the public sector. It establishes a multi-term framework (short-term until 2023, medium-term until 2027, and long-term goals) designed to foster economic growth, support human-centric and trustworthy AI, and build Poland's position as an AI leader. The policy is structured around key foundational elements including data, knowledge and competencies, funding, and infrastructure.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for policymakers, public administrators, researchers, businesses, educators, and citizens interested in understanding and participating in Poland's strategic transition toward a data-driven AI economy.
What the document contains
The document covers comprehensive national strategies for artificial intelligence development across six thematic pillars, addressing labor market transformations, funding mechanisms for innovation, academic research integration, educational curricula updates, international partnerships, and public administration modernization. It details specific short-term and medium-term objectives, key performance indicators, strategic partners, and governance structures for the Polish AI ecosystem.
The policy explicitly excludes state activities in the area of national security and defence from its direct scope, though it assumes civilian-military cooperation in accordance with the National Security Strategy.
- The policy sets out objectives for the short term (until 2023), medium term (until 2027), and long term to foster growth in Polish society, economy, and science.
- Activities and tools are divided into six core areas: society, innovative companies, science, education, international cooperation, and the public sector.
- The overarching aim is to support stakeholders in taking advantage of AI opportunities while ensuring human dignity, fundamental rights, and fair competition.
- The strategy emphasizes a human-centric and trustworthy approach to AI in line with European and OECD standards.
- Implementation is coordinated by the minister in charge of computerisation alongside the AI Policy Task Force at the Committee of the Council of Ministers for Digital Affairs.
· Introduction · Executive Summary · Why is AI important? · Poland’s achievements · The potential of AI · AI funding sources · 1 AI and society · 2 AI and innovative companies · 3 AI and science · 4 AI and education · 5 AI and international cooperation · 6 AI and the public sector · Conclusions and next steps · Appendix no. 1: Definition of AI · Appendix no. 2: Polish AI ecosystem
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
introducing a mandatory ex-ante self-assessment that identifies issues, the distribution of responsibility for system operation, potential errors and mistakes
6 AI and the public sector
screening score · 2026-10-23
Human Dignity
4/5Respect for the inherent worth of persons
development of AI technologies that respect human dignity and fundamental human rights
Executive Summary
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
updating the law to ensure access to data, including sensitive data (e.g. medical) and the conditions for functioning of trusted spaces for sharing this data, taking into account the protection of privacy and personal data
1 AI and society
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
developing a model explanation for AI-assisted decision-making and the possibility of appealing such decisions, particularly if they have a direct impact on citizens’ rights and freedoms
6 AI and the public sector
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
All the listed objectives and tools are divided into six areas
Executive Summary
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
introducing a mandatory ex-ante self-assessment that identifies issues, the distribution of responsibility for system operation, potential errors and mistakes
6 AI and the public sector
screening score · 2026-10-23