The impact of generative artificial intelligence on regulation of legal norms and social responsibility

Abstract

The study examines the legal and ethical implications of generative artificial intelligence (AI) within the field of law and social responsibility. Purpose of the study was to identify the main risks associated with the use of generative AI and offer measures for responsible regulation. The main research methods chosen were legal analysis drawing on information law, ethics, and digital governance. The research contrasts national and foreign practices, drawing on key regulatory frameworks such as the Russian AI development strategy, the EU AI Act, the GDPR, the U.S. Blueprint for an AI Bill of Rights, and China’s regulations on generative AI, to evaluate how different jurisdictions manage questions of creative ownership, responsibility, transparency, and data protection. Based on the results, it was indicated that current norms leave significant gaps, particularly regarding the improper use of machine-generated material, breaches of personal information, and manipulation of digital records. The article highlights the importance of introducing clear identification of AI-created outputs and defining duties for those who design or employ such tools, to sustain public confidence in digital justice. It concludes that the responsible use of generative AI depends on finding equilibrium between technological progress and the defense of individual freedoms. Its main contribution lies in defining generative AI as a complex informational object and outlining directions for future regulation that link legal norms with ethical and social accountability