THE INFLUENCE OF DIGITALIZATION AND ARTIFICIAL INTELLIGENCE ON HUMAN RESOURCES TRAINING
Aziza B. Irmatova,
Iroda A. Bakiyeva,
Saxobat A. Bozorova,
Fotimabonu Alisher Qizi Doniyorova,
Dilafruz S. Nasirkhodjaev
Abstract: We analysed and systematised the influence of digital and intellectual technologies on the quality of human resources training in various sectors. Among the leading countries in the sphere of digitalization and artificial intelligence (AI), not all governments actively participate in improving the digital readiness of personnel and their advanced training connected with new requirements to specialities. Certain countries (the USA, Israel, and the Netherlands) demonstrate high indicators of labour resources' adaptation to challenges that emerge due to the emergence of new digital technologies (including AI). The experience of these countries shows higher sustainability of their economies and social sector against crisis phenomena compared to countries that have not yet adopted cardinal changes - at the state level - in the sphere of personnel management in the conditions of digitalization. Among all considered countries, the highest efficiency in raising the quality of human resources training in the conditions of digitalization and AI is demonstrated by the Netherlands, which, based on the focus on cooperation with business and the scientific & technological sector, implements the main measures of collaboration. The goal of this paper was to establish the features of the influence of digitalization and AI on human resources training. The methods we used for this include comparative analysis, subject analysis, and the rankings method. The scientific novelty of this paper is due to the establishment of the models of human resources training, which are used in the considered countries in the conditions of the impact of digitalization and AI.
Keywords: Digitalization, AI, Human resources training, Quality, Digital/Technological skills, World Digital Competitiveness, Skills, Qualification
DOI: 10.24874/IJQR19.01-01
Recieved: 23.04.2024 Accepted: 10.10.2024 UDC:
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