This study — the AI Law Model for Ethical Law: Strategic Recommendations for the Regulation of Artificial Intelligence — was created as a conscious and purposeful scientific paradigm for systemic flaws and hidden vulnerabilities identified in existing and draft regulations of the USA, EU, PRC and other leading jurisdictions in the field of artificial intelligence.
A comprehensive analysis of international practice shows that even the most ambitious and technologically advanced AI acts leave significant gaps — from vague and contradictory definitions of basic concepts, insufficiently elaborated and fragmented ethical requirements, to the complete absence or insufficiency of a deep assessment of the socio-psychological and cultural consequences of AI implementation. Such shortcomings and regulatory gaps can lead to serious legal conflicts, ethical crises, increased social tensions, as well as to the loss or undermining of public trust in digital institutions and public policy in general.
The purpose of the project “Model AI Law for Ethical Law: Strategic Recommendations for the Regulation of Artificial Intelligence” is not only to warn against mechanical and little critical copying of foreign regulatory models, but also to form a thorough approach adapted to the realities of national jurisdictions, based on deep interdisciplinary expertise and comprehensive risk analysis. This approach involves considering the legal, technical, ethical, social, cultural, and medical aspects of AI implementation, which makes it possible to consider LLM technology as a multidimensional phenomenon with long-term consequences. The key idea is that AI laws cannot be the product of the work of narrow-profile initiators who are far from a systematic understanding of the technology, or authors specializing exclusively in one field (law, technology, medicine, etc.) without proper involvement of related fields. Only a broad association of interdisciplinary lawyers, highly qualified technical specialists, sociologists, psychologists, doctors, ethicists, cybersecurity and risk management specialists as part of integrated research groups provides a real opportunity to cover the entire range of direct and indirect risks, as well as to predict the long-term social, economic and political consequences of the development and use of AI.