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俄罗斯人工智能监管政策分析:框架、特征及启示OA

Analysis of Russian AI regulation policies:framework,characteristics and implications

中文摘要英文摘要

ChatGPT、Sora等大模型的出现,再次凸显人工智能技术进步对经济、文化等领域的深远影响,与此同时,其所带来的安全风险问题更令人担忧,全球主要国家和地区也均将人工智能监管问题纳入国家安全总体战略.以俄罗斯人工智能监管政策为研究对象,对近年来俄罗斯人工智能监管现状进行分析,在此基础上以第 123-FZ号联邦法与第258-FZ号联邦法为核心构建人工智能监管框架,并总结其监管特征.研究结果表明俄罗斯对于人工智能监管已形成以主体层、机构层、制度层为基础的监管框架;俄罗斯人工智能统筹自我监管和共同监管协同作用,以刺激作为监管的基础,积极推进多行业监管;随着ChatGPT、Sora等应用的涌现,俄罗斯对于人工智能的监管框架正在不断完善.

The emergence of large model such as ChatGPT and Sora once again highlights the profound impact of technological progress in artificial intelligence on economic,cultural and other fields.At the same time,the security risks it brings are even more worrying.Major countries and regions around the world have also included AI regulation issues in their overall national secu-rity strategies.This article takes Russian AI regulation policy as the research object,analyzes the current situation of AI regulation in Russia in recent years,and constructs an AI regulation framework centered on Federal Law No.123-FZ and Federal Law No.258-FZ,and summarizes its regulatory characteristics.The research results show that:First,Russia has formed an AI regulatory framework based on the main body layer,institutional layer and system layer;Second,Russia's artificial intelligence coordinates the synergistic effect of self-regulation and co-regulation,uses incentives as the basis for regulation,and actively promotes multi-industry regulationhird;Third,with the emergence of applications such as ChatGPT and Sora,Russia's AI regulatory framework is continuously being perfected.

张涛;翟梦婷

黑龙江大学 信息管理学院,黑龙江 哈尔滨 150080

计算机与自动化

俄罗斯人工智能人工智能监管监管框架

Russiaartificial intelligenceAI regulationregulatory framework

《网络安全与数据治理》 2024 (007)

41-46,55 / 7

国家社会科学基金一般项目(22BTQ064)

10.19358/j.issn.2097-1788.2024.07.007

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