USING ARTIFICIAL INTELLIGENCE IN ADMINISTRATIVE MANAGEMENT: ADVANTAGES AND RISKS

Abstract

The article examines the advantages and risks of integrating artificial intelligence (AI) into administrative management. AI has become a crucial tool for automating routine tasks, enhancing analytical processes, and improving decision-making, thereby increasing the efficiency of management operations. The study explores technologies such as machine learning, neural networks, natural language processing (NLP), and robotic process automation (RPA), which are actively employed to optimize organizational workflows and adapt to dynamic environments.

The risks associated with AI implementation are also highlighted, including concerns about data privacy, algorithm accuracy, and the reduction in employment opportunities due to automation. Ethical challenges, such as ensuring transparency in AI decision-making processes and adhering to legal frameworks like GDPR, are discussed. Furthermore, the study emphasizes the importance of strategies to mitigate potential threats, including workforce retraining, data security, and legal responsibility allocation.

The research provides recommendations for effectively leveraging AI in administrative management to enhance organizational competitiveness in the era of digital transformation while maintaining a balance between innovation and associated risks.