Transformation of Legal Labor Regulation Under Influence of Artificial Intelligence

Gutsu, Svitlana; Bublikov, Andriy

doi:10.1007/978-3-030-94259-5_51

Cited by 1 publication

(1 citation statement)

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“…The prospects for the development and implementation of machine learning and artificial intelligence in education and professional training are not only promising but also imperative. Educational institutions and organizations will persist in investing in the advancement and application of intelligent technologies to optimize learning processes and swiftly adapt to the evolving demands of the labor market [11].…”

Section: Prospects For Development and Implementationmentioning

confidence: 99%

The implications of leveraging machine learning and artificial intelligence for the transformation of adult education and vocational training

Dimitrie Costin,

Alexandru Cristian,

Dumitru Georgian

et al. 2023

JMQ

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In today's dynamic society, the significance of adult education and training has escalated, paralleling the rapid evolution of various industries. As the landscape of work undergoes swift modifications, the demand for contemporary skills has amplified, exerting immense pressure on the educational framework. The combination of machine learning and artificial intelligence delivers a compelling avenue for enhancing the landscape of adult learning and training. This integration also offers a potential trajectory for making transformative advances in the field of study. This area of research aims to look extensively into the substantial impact that will result from the use of machine learning and artificial intelligence within the context of the field of adult education and training. Its fundamental objective revolves around a comprehensive investigation and meticulous analysis of the transformative potential of these technologies. The paper will delve into an intricate exploration of the theoretical underpinnings, elaborate research methodologies employed discernible influences on the domain of education and training, prevalent challenges, and a forward-looking perspective to envision the potential trajectory of this fusion.

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Section: Prospects For Development and Implementationmentioning

confidence: 99%