Abstract:

This multi-faceted study delves into the realm of Artificial Intelligence (AI) in modern organizations, with a specific focus on its evolution, applications, and the intricate effects it manifests. Data were amassed through comprehensive literature reviews and case study analyses, encompassing diverse industries across the global business landscape. Participation included experts and professionals in fields ranging from technology to management, engaging in in-depth discussions and exploratory interviews. The study's goal was to scrutinize the roles and impacts of AI in organizational environments during the 2020-2021 period, ranging from AI's integration in decision-making processes to its influence on organizational innovation and ethics.

This exploration sheds light on the multifarious nature of AI's contributions to organizational efficiency, data-driven decision-making, cost optimization, and the enhancement of human analytical and creative capacities. Simultaneously, it scrutinizes the challenges posed by AI, including ethical dilemmas, employment impacts, dependence issues, and regulatory complexities. By analyzing the gathered data, four major themes emerged, reflecting the dichotomy of AI's influence in organizations: (1) the balance between efficiency enhancement and ethical quandaries, (2) the juxtaposition of AI-driven automation against job displacement concerns, (3) the dynamics of AI reliance versus human oversight, and (4) the evolving regulatory landscape vis-à-vis rapid technological advancements.

These findings offer deep insights and implications for both theoretical understanding and practical application, highlighting the need for a harmonized approach to leveraging AI benefits while conscientiously navigating its challenges in modern organizational structures.

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