РАЗВИТИЕ РЫНКА ТРУДА В ТРАНСФОРМАЦИОННОЙ ЭКОНОМИКЕ НА ОСНОВЕ ИНСТРУМЕНТА ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
Ключевые слова:
искусственный интеллект, рынок труда, автоматизация труда, когнитивные способности.Аннотация
В этой статье основное внимание уделяется важности искусственного интеллекта на рынке труда и его влиянию. Автор описывает такие особенности, как способность искусственного интеллекта влиять на несколько отраслей и профессий в экономике, улучшение и расширение задач за счет автоматизации рабочих мест, а также положительное или отрицательное влияние искусственного интеллекта на заработную плату и производительность труда.
Библиографические ссылки
1. O‘zbekiston Respublikasi Prezidentining “Raqamli O‘zbekiston – 2030” strategiyasini tasdiqlash va uni samarali amalga oshirish chora-tadbirlari to‘g‘risida” gi farmoni // Qonun hujjatlari ma’lumotlari milliy bazasi.
2. American Economic Association & Committee on Economic Statistics (ed.) (2020), MeasuringTechnology Adoption in Enterprise-Level Surveys: The Annual Business Survey; Bessen, J. et al. (2018), “The Business of AI Startups”, Law and Economics Research Paper, Boston University School of Law, https://scholarship.law.bu.edu/faculty_scholarship/537; McKinsey (2019), Survey: AI adoption proves its worth, but few scale impact, https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-itsworth-but-few-scale-impact
3. Абдурахманов К.Х. Искуственный интеллект – основа устойчивого развития экономике. – Москва: ФГБОУ ВО “РЕУ им. Г.В.Плеханова”, 2023, - 356 с.
4. D. Rozum, N. Grazhevska, and V. Virchenko, “Structural {Change} in {Labor} {Market} {Influenced} by {Artificial} {Intelligence}: Theoretical and {Empirical} {Analysis},” in 2020 10th {International} {Conference} on {Advanced} {Computer} {Information} {Technologies} ({ACIT}), 2020. doi: 10.1109/acit49673.2020.9208838.
5. O. Yashchyk, V. Shevchenko, V. Kiptenko, O. Razumova, I. Khilchevska, and M. Yermolaieva, “The {Impact} of {Informatization} of {Society} on the {Labor} {Market},” Postmod. Openings, vol. 12, no. 3Sup1, pp. 155–167, 2021, doi: 10.18662/po/12.3sup1/357.
6. S. Wang and W. Wang, “The {Impact} of {Artificial} {Intelligence} on the {Labor} {Force} in the {Primary} and {Secondary} {Industries},” in Proceedings of the 2022 7th {International} {Conference} on {Financial} {Innovation} and {Economic} {Development} ({ICFIED} 2022), 2022. doi: 10.2991/aebmr.k.220307.140.
7. L. Tian and D. Sui, “Spatial pattern of artificial intelligence and its influence on labor market in {China},” J. Phys. Conf. Ser., vol. 1629, no. 1, p. 12070, 2020, doi: 10.1088/1742-6596/1629/1/012070.
8. A. Agrawal, J. S. Gans, and A. Goldfarb, “Artificial {Intelligence}: The {Ambiguous} {Labor} {Market} {Impact} of {Automating} {Prediction},” SSRN Electron. J., 2019, doi: 10.2139/ssrn.3341456.
9. M. Webb, “The {Impact} of {Artificial} {Intelligence} on the {Labor} {Market},” SSRN Electron. J., 2019, doi: 10.2139/ssrn.3482150.
10. G. Zhou, G. Chu, L. Li, and L. Meng, “The effect of artificial intelligence on {China}textquoteright{}s labor market,” China Econ. J., vol. 13, no. 1, pp. 24–41, 2019, doi: 10.1080/17538963.2019.1681201.
11. E. W. Felten, M. Raj, and R. Seamans, “The {Variable} {Impact} of {Artificial} {Intelligence} on {Labor}: The {Role} of {Complementary} {Skills} and {Technologies},” SSRN Electron. J., 2019, doi: 10.2139/ssrn.3368605.
12. Z. Riczu and Z. Krutilla, “The impact of optical character recognition artificial intelligence on the labour market,” Int. J. Eng. Manag. Sci., vol. 6, no. 4, 2021, doi: 10.21791/ijems.2021.4.2.
13. M. R. Frank et al., “Toward understanding the impact of artificial intelligence on labor,” Proc. Natl. Acad. Sci., vol. 116, no. 14, pp. 6531–6539, 2019, doi: 10.1073/pnas.1900949116.
14. “Influence of {Artificial} {Intelligence} on {Labor} {Market} in {Russia},” u , no. 4, pp. 7–12, 2019, doi: 10.26163/gief.2019.18.73.001.
15. P. Aghion, B. Jones, and C. Jones, “Artificial {Intelligence} and {Economic} {Growth},” 2017. doi: 10.3386/w23928.
16. M. Fatun and M. Pazour, “Modelling the impact of {Artificial} {Intelligence} on the labour market in {Czechia},” Cent. Eur. J. Public Policy, vol. 15, no. 2, pp. 31–42, 2021, doi: 10.2478/cejpp-2021-0006.
17. D. mname Acemoglu and P. mname Restrepo, “Artificial {Intelligence}, {Automation} and {Work},” SSRN Electron. J., 2018, doi: 10.2139/ssrn.3098384.
18. Yu-jia Zhang, “The {Impact} of {Artificial} {Intelligence} on {China}’s {Labor} {Legislation}.”
19. I.Cockburn, R.Henderson, and S.Stern, “The {Impact} of {Artificial} {Intelligence} on {Innovation},” 2018. doi: 10.3386/w24449.
20. N.Soni, E.Sharma, Narotam Singh, and A. Kapoor, “Impact of {Artificial} {Intelligence} on {Businesses}: from {Research}, {Innovation}, {Market} {Deployment} to {Future} {Shifts} in {Business} {Models}.”
21. W.K.Solos and J. Leonard, “On the {Impact} of {Artificial} {Intelligence} on {Economy},” Sci. Insights, vol. 41, no. 1, pp. 551–560, 2022, doi: 10.15354/si.22.re066.
22. Dean Alderucci, Lee G. Branstetter, E. Hovy, Andrew Runge, Maria Ryskina, and Nick Zolas, “Quantifying the {Impact} of {AI} on {Productivity} and {Labor} {Demand}: Evidence from {U}.{S}. {Census} {Microdata1}.”
23. J. Bayón Pérez and A. J. Arenas Falótico, “Various perspectives of labor and human resources challenges and changes due to automation and artificial intelligence.,” Acad. Int. Sci. J., vol. 20, pp. 106–118, 2019, doi: 10.7336/academicus.2019.20.08.
24. W. Naudé, “The {Race} {Against} the {Robots} and the {Fallacy} of the {Giant} {Cheesecake}: Immediate and {Imagined} {Impacts} of {Artificial} {Intelligence},” SSRN Electron. J., 2019, doi: 10.2139/ssrn.3390207.
25. Y. Chen and D. Xu, “ ({The} {Impact} of the ‘{Artificial} {Intelligence} {Revolution}’ on {Employment}: Review and {Prediction}),” SSRN Electron. J., 2018, doi: 10.2139/ssrn.3116753.
26. M. Szczepański, “Economic impacts of artificial intelligence.”
27. “Impact {of} {artificial} {intelligence} {and} {digital} {economy} {on} {industrial} {revolution} 4: evidence {from} {bangladesh},” Am. Financ. & Bank. Rev., pp. 42–55, 2021, doi: 10.46281/amfbr.v6i1.1489.
28. A. foud Ali, S. I. Zowayed, D. A. Showaiter, M. A. Khder, and B. J. A. Ali, “Artificial intelligence’s potential on {Bahrain}’s labour market,” in 2022 {ASU} {International} {Conference} in {Emerging} {Technologies} for {Sustainability} and {Intelligent} {Systems} ({ICETSIS}), 2022. doi: 10.1109/icetsis55481.2022.9888902.
29. X. Pan and H. Zhong, “The development of artificial intelligence and the response of labor policy,” IOP Conf. Ser. Mater. Sci. Eng., vol. 806, no. 1, p. 12004, 2020, doi: 10.1088/1757-899x/806/1/012004.
30. J. Furman and R. Seamans, “AI and the {Economy},” Innov. Policy Econ., vol. 19, pp. 161–191, 2019, doi: 10.1086/699936.
31. Ernst, E., R. Merola and D. Samaan (2018), The economics of artificial intelligence: Implications for the future of work, International Labour Organization, http://www.ilo.org/publns.
32. Acemoglu, D. and P. Restrepo (2019), “Automation and New Tasks: How Technology Displaces and Reinstates Labor”, Journal of Economic Perspectives, Vol. 33/2, pp. 3-30, http://dx.doi.org/10.1257/jep.33.2.3.
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