Afanasiev Boris Sergeevich (Federal State Autonomous Educational Institution of Higher Education Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia)
Khakhina Anna Mikhailovna (Doctor of Technical Sciences, Professor
Federal State Autonomous Educational Institution of Higher Education Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
)
Afanasieva Alina Dmitrievna (Federal State Autonomous Educational Institution of Higher Education Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia)
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Since the end of 2022, generative artificial intelligence has become especially popular. However, despite a wide range of possibilities for its application in organizations, the implementation of artificial intelligence does not bring the expected increase in employee efficiency. The authors highlight such reasons as unrealistic expectations of management, insufficient training of employees, an improperly structured process of implementation and use of technology. Professional burnout of employees is also considered as one of the possible effects of using artificial intelligence. The actual results of using artificial intelligence are considered. The reasons for the discrepancy between the actual results and the expected ones are analyzed. The authors propose measures that are recommended to be taken to reduce the negative effects of using artificial intelligence and increase the effectiveness of its implementation.
Keywords:IT, IT, artificial intelligence, generative AI, neural networks, professional burnout, employee efficiency
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Citation link:
Afanasiev B. S., Khakhina A. M., Afanasieva A. D. RISKS OF USING ARIFICIAL INTELLIGENCE TO INCREASE EMPLOYEE EFFICIENCY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№01. -С. 35-40 DOI 10.37882/2223-2966.2025.01.06 |
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