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dc.contributor.advisorAL-Kamali, M. F. S. H.
dc.contributor.authorHassan, E. A. A.
dc.coverage.spatialГомельru_RU
dc.date.accessioned2024-05-31T12:09:59Z
dc.date.available2024-05-31T12:09:59Z
dc.date.issued2024
dc.identifier.citationHassan, E. A. A. The detrimental effects of artificial intelligence's fast design advancement on Yemen's labor stagnation [Электронный ресурс] / E. A. A. Hassan ; scientific supervisor M. F. S. H. AL-Kamali // E.R.A – Современная наука: электроника, робототехника, автоматизация : материалы I Междунар. науч.-техн. конф, студентов, аспирантов и молодых ученых, Гомель, 29 фев. 2024 г. / Гомел. гос. техн. ун-т им. П. О. Сухого [и др.] ; под общ. ред. А. А. Бойко. – Гомель : ГГТУ им. П. О. Сухого, 2024. – C. 135–136.ru_RU
dc.identifier.urihttps://elib.gstu.by/handle/220612/35695
dc.description.abstractThis study aims to shed light on the adverse consequences of rapid design advancements in artificial intelligence (AI) on the labor stagnation in Yemen. As AI technology continues to evolve at an unprecedented pace, its impact on the global workforce is becoming increasingly significant. This study specifically focuses on the situation in Yemen, where labor stagnation poses a significant challenge to economic growth and social development. By examining the factors contributing to labor stagnation and the disruptive effects of AI on traditional job markets, this article highlights the urgent need for proactive measures to mitigate the negative impacts and foster inclusive growth.ru_RU
dc.language.isoenru_RU
dc.publisherГГТУ им. П.О. Сухогоru_RU
dc.subjectArtificial intelligenceru_RU
dc.subjectLabor stagnationru_RU
dc.subjectJob displacementru_RU
dc.subjectEconomic growthru_RU
dc.subjectYemenru_RU
dc.subjectWorkforceru_RU
dc.subjectTechnological advancementru_RU
dc.titleThe detrimental effects of artificial intelligence's fast design advancement on Yemen's labor stagnationru_RU
dc.typeArticleru_RU


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