Sztuczna inteligencja jako komponent zdolności analitycznej państwa w procesie legislacyjnym
Artificial Intelligence as a Component of the State’s Analytical Capacity in the Legislative Process

Summary/Abstract: The article examines the potential of applying artificial intelligence systems based on large language models in the legislative process. Its point of departure is the conceptualisation of the deficits of the legislative process as a problem of the state’s analytical capacity: the fragmentary nature of impact assessments, the piecemeal character of analyses, and the selective processing of information stem primarily from the limited analytical resources of public institutions. The article is analytical and design-oriented: it reconstructs the architecture of contemporary AI systems, discusses selected foreign experiences, and identifies areas in which such solutions may strengthen the legislative process, especially in analysing the coherence of the legal system, synthesising complex textual corpora, and structuring regulatory impact assessments. Responsible deployment, however, requires human oversight, system transparency and auditability, as well as the development of algorithmic auditing capabilities within institutions responsible for law-making.

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