Artificial intelligence is rapidly reshaping government functions and citizen interactions worldwide. This chapter examines the emerging trends, challenges, and transformative potential of AI in the public sector. Key trends include automation, hyper-personalized service delivery, and predictive service models. The chapter examines how AI influences citizen engagement, communication, and the evolution of public discourse, including the use of NLP-powered chatbots. It analyzes the impact of AI on government service delivery, internal operations, and democratic processes, highlighting the need for ethical guidelines and strategic implementation. Challenges such as algorithmic bias, transparency, and workforce adaptation are addressed. The chapter provides recommendations and guidelines for responsible AI governance, emphasizing the importance of transparency, fairness, accountability, and human-centric design. It outlines strategic approaches for effective AI implementation and discusses the necessity of preparing the public sector workforce for an AI-enhanced future. Finally, it proposes a research agenda for advancing AI in government, focusing on explainable artificial intelligence, ethical AI deployment, agile governance frameworks, and equitable data access.

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AI in Government: Future Trends and Recommendations

  • Annus Azhar

摘要

Artificial intelligence is rapidly reshaping government functions and citizen interactions worldwide. This chapter examines the emerging trends, challenges, and transformative potential of AI in the public sector. Key trends include automation, hyper-personalized service delivery, and predictive service models. The chapter examines how AI influences citizen engagement, communication, and the evolution of public discourse, including the use of NLP-powered chatbots. It analyzes the impact of AI on government service delivery, internal operations, and democratic processes, highlighting the need for ethical guidelines and strategic implementation. Challenges such as algorithmic bias, transparency, and workforce adaptation are addressed. The chapter provides recommendations and guidelines for responsible AI governance, emphasizing the importance of transparency, fairness, accountability, and human-centric design. It outlines strategic approaches for effective AI implementation and discusses the necessity of preparing the public sector workforce for an AI-enhanced future. Finally, it proposes a research agenda for advancing AI in government, focusing on explainable artificial intelligence, ethical AI deployment, agile governance frameworks, and equitable data access.