AI Advancements and GDPR Obligations Regarding the Content of Personal Data Processing Notices: Challenges for Public Administration in Poland
DOI:
https://doi.org/10.61823/dpia.2026.2.557Keywords:
personal data processing notice, GDPR transparency, artificial intelligence, public administration, automated decision-makingAbstract
The integration of artificial intelligence systems into public administration in Poland raises significant compliance challenges under the EU General Data Protection Regulation (GDPR). This article examines the content requirements for personal data processing notices, the primary transparency instrument under GDPR Articles 13 and 14, as they apply to AI systems deployed by Polish public bodies. The article argues that AI systems create genuine and previously underappreciated challenges for fulfilling transparency obligations, particularly the requirement to provide “meaningful information about the logic involved” under Article 13(2)(f) of the GDPR. The analysis identifies three temporally and functionally distinct disclosure obligations arising from the intersection of GDPR, the EU AI Act, and Poland’s Administrative Procedure Code, and demonstrates that processing notices under GDPR Article 13 occupy an irreplaceable ex ante role that cannot be substituted by procedural transparency requirements.
References
Article 29 Working Party, Guidelines on transparency under Regulation 2016/679, WP260 rev.01, adopted 29 November 2017, last revised 11 April 2018
European Data Protection Board, Guidelines on Automated individual decision-making and Profiling for the purposes of Regulation 2016/679, WP251 rev.01.
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (General Data Protection Regulation), OJ L 119, 4.5.2016, p. 1.
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonized rules on artificial intelligence (Artificial Intelligence Act), OJ L 2024/1689, 12.7.2024.
Act of 14 June 1960 – Code of Administrative Procedure (KPA), consolidated text, Journal of Laws 2024, item 572.
Policy for the Development of Artificial Intelligence in Poland from 2020, Appendix to the Resolution No. 196 of the Council of Ministers of 28 December 2020 (item 23), available at: https://www.gov.pl/attachment/928200fa-b1a6-4c0c-b3a8-d1fbf1e1175a [accessed on: 09.022026].
Ministerstwo Cyfryzacji, PLLuM — polski model językowy, jak działa i do czego może się przydać, available at: https://www.gov.pl/web/cyfryzacja/pllum-polski-model-jezykowy-jak-dziala-i-doczego-moze-sie-przydac [accessed on09.02.2026].
Ministerstwo Cyfryzacji, Polski model językowy PLLuM trafi do samorządów (pilot w Częstochowie), available at: https://www.gov.pl/web/cyfryzacja/polski-model-jezykowy-pllum-trafi-do-samorzadu [accessed: 9 February 2026].
National Information Processing Institute - National Research Institute (OPI PIB), HIVE AI: Development and pilot implementation of large language models in Polish public administration, available at: https://opi.org.pl/en/project/hive-ai-rozwoj-i-pilotazowe-wdrozenie-duzych-modeli-jezykowych-w-polskiej-administracji-publicznej/ [accessed on: 09.02 2026].
NASK, About HIVE AI Project, available at: https://www.nask.pl/en/institute-for-institutions/hive-ai/about-project [accessed on: 09.02.2026].
Implement Consulting Group, The AI opportunity for eGovernment in Poland (2025), commissioned by Google in partnership with SGH Warsaw School of Economics, available at: https://cms.implementconsultinggroup.com/media/uploads/articles/2025/The-AI-opportunity-for-eGovernment-in-Poland/2025-The-AI-opportunity-for-eGovernment-in-Poland-English.pdf [accessed on: 09.022026].
European Commission, Digital Skills & Jobs Platform, Poland digital skills map, available at: https://digital-skills-jobs.europa.eu/en/european-interactive-map/poland [accessed on: 09.02.2026].
Court of Justice of the European Union, judgment of 27 February 2025, Case C-203/22, EU:C:2025:117, available at: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:62022CJ0203 [accessed on: 09.02.2026].
Adamiak B., [in:] B. Adamiak, J. Borkowski, Kodeks postępowania administracyjnego. Komentarz, edn. 19, Warszawa 2024, art. 2a, Legalis.
Barta P., Kawecki M., Litwiński P., [in:] P. Litwiński (ed.), Ustawa o ochronie danych osobowych. Komentarz [in:] Ogólne rozporządzenie o ochronie danych osobowych. Ustawa o ochronie danych osobowych. Wybrane przepisy sektorowe. Komentarz, edn. 2, Warszawa 2025, art. 13, Legalis.
Burrell J., “How the Machine ‘Thinks’: Understanding Opacity in Machine Learning Algorithms” (September 15, 2015). Available at SSRN: https://ssrn.com/abstract=2660674 or http://dx.doi.org/10.2139/ssrn.2660674, DOI: 10.1177/2053951715622512, [accessed on: 09.02.2026].
Constantino T., “AI’s Biggest Secret — Creators Don’t Understand It”, Forbes, 8 May 2025, available at: https://www.forbes.com/sites/torconstantino/2025/05/08/ais-biggest-secret-creators-dontunderstand-it-experts-split/ [accessed on: 09.02.2026].
Gołaszewski P., Wąsowski K., [in:] R. Hauser, M. Wierzbowski (eds.), Kodeks postępowania administracyjnego. Komentarz, edn. 8, Warszawa 2023, art. 2a, Legalis.
Jarrahi, M.H., Glaser V., “Not All AI Systems Are Created Equal: A Typology of AI Systems’ Performance and Affordance”, Proceedings of HICSS 2025, DOI: 10.24251/HICSS.2025.655.
Litwiński, P., [in:] P. Litwiński (ed..), Kodeks postępowania administracyjnego. Komentarz [in:] Ogólne rozporządzenie o ochronie danych osobowych. Ustawa o ochronie danych osobowych. Wybrane przepisy sektorowe. Komentarz, edn. 2, Warszawa 2025, art. 2a, Legalis.
Commission nationale de l’informatique et des libertés, AI system development: CNIL’s recommendations to comply with the GDPR, 5 January 2026, available at: https://www.cnil.fr/en/ai-system-development-cnils-recommendations-to-comply-gdpr [accessed on: 09.02.2026].
Commission nationale de l’informatique et des libertés, Informing data subjects, available at: https://www.cnil.fr/en/informing-data-subjects [accessed on: 9 09.02.2026].
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