Khalimova, Nilufar
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The Rise of AI in Management: Should Technology Take the Lead Over Human Insight? Xudoykulov, Doniyor; Khalimova, Nilufar
Entrepreneurship and Innovation Review Vol. 4 No. 1 (2026): June Edition
Publisher : Integra Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63208/210113-730

Abstract

Artificial intelligence (AI) is increasingly transforming the world of management by enhancing data processing, automation, forecasting, and decision-making support. However, the growing adoption of AI raises questions about whether this technology should take the lead in managerial decision-making or remain a supporting tool for human managers. This study examines the role of AI in management, focusing on its benefits, limitations, ethical risks, and the importance of human-AI collaboration. The study employs a literature review, analyzing selected academic sources on AI, management, human-machine collaboration, ethical considerations, accountability, automation, and augmentation. The findings indicate that AI can enhance managerial efficiency, information processing, organizational agility, and the automation of routine tasks. Nevertheless, AI still has limitations in contextual understanding, moral judgment, responsibility, and the evaluation of complex consequences. Therefore, AI should not replace human managerial authority. Instead, organizations must integrate AI capabilities with human insights through appropriate human oversight, accountability, and ethical evaluation. Effective AI-based management ultimately depends on a balance between technological capabilities and human judgment.