“Implementation impossible to refuse”: The influence of ethics on using artificial intelligence in socio-economic management

Aim. The work aimed to analyze various aspects of the influence of ethics in artificial intelligence (AI) on the management of socio-economic processes and, consequently, to determine the outlines of the applicability of these technologies, to reveal the ethical difficulties of further expanded and in-depth implementation of AI technologies, including in the context of global technological competition. Objectives. The work seeks to analyze the mechanisms of influence and the role of ethics in the field of AI as a factor limiting the development and implementation of AI technologies in the management system of socio-economic processes, taking into account the main trends in the development of ethical culture at the national and global levels, as well as to identify associated risks and to reveal the outlines of the development of this field in the medium term. Methods. Both general scientific and special scientific methods were applied as the study theoretical and methodological basis, primarily a systems approach and a risk-oriented approach to the analysis of the processes under consideration. General scientific approaches included synthesis, corporate analysis, modeling and forecasting. Results. The study identified the main problematic aspects associated with the further implementation of ethical standards in the field of AI. The work presents the role of the ethical factor in the management of socio-economic processes performed based on and using AI systems. Conclusions. The creation of an ethical regulation system for the further use of AI technologies in the management of the socio-economic sphere has been established to be a strategically significant step in the formation of public policy. Effective and efficient implementation of such policy measures is of key importance for achieving the goals of national development and ensuring the technological sovereignty of the Russian Federation in the medium-term and long-term development.