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[1] ACEMOGLU, D., and RESTREPO, P. (2017). Robots and jobs: Evidence from US labor markets. National Bureau of Economic Research Working Paper 23285, Cambridge MA. Retrieved from https://www.nber.org/papers/w23285.pdf ALPAYDIN, E. (2016). Machine learning: thenew AI. MIT Press. [2] ALDERWICK, H., HAM, C. and BUCK, D. (2015).Population Health Systems, Going beyond into integrated Care, February 2015. The King’s Fund.[3] Acemoglu, D., D. Autor, J. Hazell, and P. Restrepo. 2022. “Artificial Intelligence and Jobs: Evidence from Online Vacancies.” Journal of Labor Economics, 40. https://doi.org/10.1086/718327[4] Autor, D. 2022. “The Labor Market Impact of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty.” NBER Working Paper 30074. Cambridge, MA: National Bureau of Economic Research. https://www.nber.org/papers/w30074[5] Jumaev G., Normuminov A., Primbetov A. 2023 Vol. 6 No. 4 (2023): JOURNAL OF MULTIDISCIPLINARY BULLETIN SAFEGUARDING THE DIGITAL FRONTIER: EXPLORING MODERN CYBERSECURITY METHODS | JOURNAL OF MULTIDISCIPLINARY BULLETIN (sirpublishers.org)https://sirpublishers.org/index.php/jomb/article/view/156[6]Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and SocialChange, 114, 254-280.[1][7]Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company