AI Technology
Hardware, software, or application technologies necessary for AI implementation.
How the laws define this
Both instruments center the concept of AI technology on the development and deployment of artificial intelligence systems and applications. However, they diverge significantly in their structural focus and scope. The definition under [인공지능 발전과 신뢰 기반 조성 등에 관한 기본법] emphasizes foundational infrastructure, explicitly capturing hardware, software, and tools necessary for implementing AI systems. In contrast, Federal Law No. 123-FZ of April 24, 2020 "On carrying out experiment on establishment of special regulation for the purpose of creation of necessary conditions for development and deployment of technologies of artificial intelligence in the subject of the Russian Federation - the federal city of Moscow, about features of processing of personal data when forming regional structures of data and provisions of access to regional structures of data and introduction of amendments to articles 6 and 10 of the Federal law 'About Personal Data'" focuses on specific computational methods and techniques—such as machine learning, natural language processing, and computer vision—that are subject to an experimental legal regime.
Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.
Definitions (2)
AI Technology encompasses the hardware, software, or application technologies necessary for the implementation of artificial intelligence. This term covers the foundational components and tools required for developing and deploying AI systems.
AI Technologies refer to the various forms of artificial intelligence systems, methods, and applications that are the subject of development and deployment within the experimental legal regime. This includes machine learning, natural language processing, computer vision, and other advanced computational techniques.