ARTIFICIAL INTELLIGENCE IN LABOUR RELATIONS: A THREAT TO HUMAN RIGHTS OR NEW OPPORTUNITIES?

Autor: Leonid Ostapenko, Viktoriia Pasternak, Mykola Kropyvnytskyi, Leontii Chystokletov, Oleksandra Khytra
Jazyk: English<br />Ukrainian
Rok vydání: 2024
Předmět:
Zdroj: Фінансово-кредитна діяльність: проблеми теорії та практики, Vol 4, Iss 57 (2024)
Druh dokumentu: article
ISSN: 2306-4994
2310-8770
DOI: 10.55643/fcaptp.4.57.2024.4421
Popis: This article explores the possibility of using artificial intelligence in the field of labour relations. Modern technologies provide new opportunities, but at the same time, they give rise to a number of complex issues, solving new approaches to the realization of the right to work and proper social security by able-bodied citizens, which is important today, when Ukraine is defending its sovereignty and independence from military aggression by the Russian Federation. The use of machine learning algorithms and systems can lead to significant improvements related to the professional training of labour resources, management of production processes, labour protection and other aspects of labour relations. We came to the conclusion that the modernization of labour law involves expanding the circle of participants in labour relations and revising the meaning of the term "employee". Thus, the presence or absence of access to technology will create new forms of inequality in the interaction between "employee-to-employee" and "worker-robot (AI)". A proactive approach is proposed to mitigate the consequences of possible threats to the use of artificial intelligence in labour relations through an in-depth study of all possible threats arising in connection with the use of modern technologies. A proposal is made to take as a basis the international experience of using AI in the social structure of the state and adapt it to the life of the state, which, in turn, will contribute to the promotion of important theses on the quality and accessibility of data at the country level, and in cities in particular, promoting participation in data exchange schemes at the level of the private and public sectors.
Databáze: Directory of Open Access Journals