Modeling approaches to AI integration into public relations in Russia as per comparative research of foreign countries’ experience

A. Atabekov
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Abstract

Artificial intelligence (AI) technologies are one of the most significant solutions that can fundamentally change both public relations and the sphere of public legal relations. The goal of the present research is to conduct a comparative analysis of existing approaches to the AI integration into the sphere of public legal relations of foreign countries and Russia, with the subsequent determination of the most effective constructive approaches to the formation of a regulatory policy regarding AI in Russia. This goal is achieved through the study of the following issues: Strategic goal-setting in relation to AI in Russia and other countries; Tactical implementation of AI integration into public legal relations and possible solutions in order to ensure AI decision-making transparency; Model compensatory measures that ensure AI safe integration into public relations in Russia. The object of the study comprises regulatory sources, strategies, and other documents regulating the AI integration into the sphere of public legal relations in Russia and foreign countries, judicial practice examples, and academic publications on the issues under study. The research methodology incorporates a complex of modern philosophical, general scientific, special scientific methods of cognition, including dialectical, systemic, structural-functional, hermeneutic, comparative legal, formal legal (dogmatic), legal modeling methods, and some others. The present research lays special emphasis on the implementation of a comparative legal study of the approaches to and regulation of AI in the public sphere regarding various states experience. The general scientific dialectical method has made it possible to consider the AI position in the legal field from the point of view of the AI regulation variability and trends in the subsequent development thereof, and to substantiate the advantages and disadvantages of various approaches to solve the respective issues, as well. Additional emphasis is also laid on addressing the issues of the applied nature of the AI use in the field of public relations in Russia, taking into account the legal modeling and development of compensatory measures within the authorities’ regulatory approaches.
根据外国经验的比较研究,模拟俄罗斯将人工智能纳入公共关系的方法
人工智能(AI)技术是能够从根本上改变公共关系和公共法律关系领域的最重要解决方案之一。本研究的目的是对外国和俄罗斯将人工智能纳入公共法律关系领域的现有方法进行比较分析,进而确定在俄罗斯形成人工智能监管政策的最有效的建设性方法。这一目标将通过对以下问题的研究来实现:俄罗斯和其他国家有关人工智能的战略目标设定;人工智能融入公共法律关系的战术实施和可能的解决方案,以确保人工智能决策的透明度;确保人工智能安全融入俄罗斯公共关系的示范补偿措施。研究对象包括规范俄罗斯和外国将人工智能纳入公共法律关系领域的法规来源、战略和其他文件,司法实践范例,以及关于所研究问题的学术出版物。研究方法综合了现代哲学、一般科学和特殊科学的认知方法,包括辩证法、系统法、结构-功能法、诠释法、比较法、形式法律(教条主义)、法律建模法和其他一些方法。本研究特别强调对公共领域人工智能的方法和监管进行比较法律研究,以了解不同国家的经验。一般的科学辩证法使我们有可能从人工智能法规的可变性及其后续发展的趋势的角度来考虑人工智能在法律领域中的地位,并证实解决相应问题的各种方法的优缺点。此外,考虑到当局监管方法中的法律模型和补偿措施的发展,还强调了在俄罗斯公共关系领域使用人工智能的应用性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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