This book examines how Artificial Intelligence (AI) is reshaping public administration and the citizen-state relationship in the digital era. As governments face growing demands for transparency, efficiency, and responsiveness, AI technologies-such as machine learning, natural language processing, and predictive analytics-are being used to streamline services, improve decision-making, and support data-driven policymaking. Through global case studies across health, education, urban planning, and public finance, the book highlights both the promise and the pitfalls of AI integration. Key challenges include algorithmic bias, data privacy, surveillance risks, and accountability concerns. Special focus is given to emerging economies, where limited resources create both constraints and innovation opportunities. The book concludes with practical recommendations for inclusive, ethical, and context-aware AI adoption that strengthens both innovation and democratic governance.
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