Identification and Analysis of Conflicts in the Legal and Regulatory Sphere Related to the Use of Artificial Intelligence

The article examines a range of conflicts emerging in the legislative sphere due to the application of artificial intelligence (AI) technologies, particularly within lawmaking, public administration, and law enforcement processes. The authors systematize these conflicts across different levels — interpersonal, institutional, systemic, and international — and specifically identify those that are unique to AI, rather than merely stemming from general automation. Particularattention is paid to the unique characteristics of AI, such as self-learning, the “black box” problem, generation of new content, adaptability, and autonomy, which give rise to novel legal challenges. Within this context, the article introduces a new scientific paradigm — AI conflictology—focused on studying specific forms of socio-legal conflicts that arise exclusively due to the unique properties of intelligent systems. Based on this analysis, a set of seven structured prompts is proposed for identifying potentially conflict-prone provisions in draft legislation. Each prompt is constructed according to a no-code programming framework, incorporating formalized logical primitives: “Condition”, “Loop”, and “Function”. This approach enables the transformation of natural language into a tool for systematic legal oversight. Examples of applying these prompts to real-world documents, including a draft law by the Ukrainian Students' League and the “White Paper on AI Regulation in Ukraine” are provided, confirming the practical value of the proposed methodology. The result is a comprehensive system of parliamentary oversight over AI, grounded in semantic engineering and transparent logical constructs.