Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize many aspects of human life. However, its rapid development and deployment have also raised significant ethical, social, and economic concerns. In this article, we provide a comprehensive overview of the theoretical background and applications of AI, with a focus on its current and potential impact in times of turbulence. We discuss the key concepts and techniques underlying AI, including machine learning, deep learning, and natural language processing. We then explore the applications of AI in various fields, including healthcare, finance, supply chain management, and climate change. We also examine the societal challenges and risks associated with AI, such as algorithmic bias, privacy violations, and job displacement. Finally, we discuss the future of AI and the need for responsible development and deployment of this technology. Our analysis highlights the complex and multifaceted nature of AI, and underscores the importance of a multidisciplinary approach to understanding and addressing its challenges and opportunities.

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• Computer and Information Sciences - Natural Sciences