title: Artificial Intelligence Strategy and consequences of its implementation for labour law
metadata.name: dc.contributor.author
metadata.value: Filipova, Irina A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2022-08-12T09:25:59Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2022-08-12T09:25:59Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Filipova, Irina A. 2022. “Artificial Intelligence Strategy and consequences of its implementation for labour law”. Vestnik of Saint Petersburg University. Law 1: 5–27.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu14.2022.101
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/37336
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The rapid development of artificial intelligence in recent years has necessitated the legal
  regulation of new phenomena related to the introduction of artificial intelligence in practice. Scientists and politicians raised questions about the development of artificial intelligence,
  and about the formulation of principles and basic conditions for minimizing risks of
  developing artificial intelligence in the future. This discussion led to the adoption of Artificial
  Intelligence Strategies in countries that are leaders in economic development and countries
  seeking leadership, including in Russia. The Russian Artificial Intelligence Strategy for the
  period up to 2030 indicates development goals and the need to carry out a set of coordinated
  actions, including in the field of legal regulations. This Strategy involves major changes that
  will affect the production and services sectors, which will inevitably affect the organization
  of wage labor. This article presents an analysis of the provisions of this Strategy and similar
  foreign acts, which allows identification of key factors that can affect the transformation of
  the world of work and compel changes in legal regulation. This study was carried out using
  the following methods: formal-logical, comparative-legal methods of analysis and synthesis,
  methods of legal modelling and legal forecasting. The results of the study provide insights into
  the increasing impact of artificial intelligence technologies on the work environment, on the
  content of labor relations, and about the need to revise some norms of labor law to adapt it to
  changing reality.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The reported study was funded by the Russian Foundation for Basic Research according to the research
  project No. 19-011-00320.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Law;Volume 13; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: artificial intelligence
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: legal regulation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: wage labour
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: worker
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: employer
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: profession
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: robot
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: workforce
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: data mining
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Artificial Intelligence Strategy and consequences of its implementation for labour law
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 01.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/37336/1/01.pdf
resources.format: Adobe PDF
resources.size: 792,35 kB