Features of application of machine-readable and algorithmic language in the contemporary budget law

Abstract

The purpose of this article is to study the application of machine-readable rules in the branches of the budget law and general law. Some considerations of the problems related to the use of a machine-readable and algorithmic language in rule-making activity are examined. Design/methodology/approach: The methodological background for the implementation of budget-law rules algorithmization in the digital era is a package of scientific research methods: theoretical methods (analysis and study of regulations stipulating the implementation and development of machine-readable rules in the budgetary activities of the state and municipalities); analysis and synthesis (a scientific search for the opportunities and advantages of algorithmic budgetary relations). Findings: For the most correct and uniform understanding of the integral parts of the social relations under consideration, the authors pay heed to the categorical and conceptual framework, displaying the inter-branch relations and the dual legal nature of the relations arising out of the interaction between digital technologies and law. The summary and classification of the main lines and trends of state policy on the regulation of the legal rules’ algorithmization made it possible to unveil the relevance and usefulness of machine-readable rules in budget law and legal proceedings. Uniqueness/value: The analysis demonstrates that all financial legal relationships cannot be automated. The truthfulness and applicability of scientific estimates rely on the quality of budget rules. The feature of budget rules such as certainty increases the potential for their automation. The use of machine-readable and algorithmic rules in budget law will make the legislative branch predictable, operating under predesigned algorithms (requirements) and having a predetermined result. The statement on the formalization of the budget rules automation at the federal level is considered in detail