Routledge Studies in Innovation, Organizations and Technology Artificial Intelligence Public Administration

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Bol This book presents a conceptualization of the process of using artificial intelligence (AI) in public administration, along with its operationalization in terms of technology, competence, and the use of AI by employees of municipal offices. The authors offer a holistic examination, drawing on a multidisciplinary approach that combines theoretical insights with empirical analyses, to develop a theoretical model for improving the use of AI in public administration. The book provides a nuanced understanding of the complex interactions between AI technologies, governance structures, and public service delivery models, as well as diverse case studies across administrative domains to offer cross-national insights and shedding light on the contextual factors shaping AI adoption and implementation strategies. Through dedicated chapters on ethics and safety, the book also critically examines the challenges and opportunities policymakers must navigate when implementing AI. Combining theory with practice, this book will be of interest to scholars and post-graduate students in the fields of public administration, policy studies, governance as well as artificial intelligence and technology management.

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This book presents a conceptualization of the process of using artificial intelligence (AI) in public administration, along with its operationalization in terms of technology, competence, and the use of AI by employees of municipal offices. The authors offer a holistic examination, drawing on a multidisciplinary approach that combines theoretical insights with empirical analyses, to develop a theoretical model for improving the use of AI in public administration. The book provides a nuanced understanding of the complex interactions between AI technologies, governance structures, and public service delivery models, as well as diverse case studies across administrative domains to offer cross-national insights and shedding light on the contextual factors shaping AI adoption and implementation strategies. Through dedicated chapters on ethics and safety, the book also critically examines the challenges and opportunities policymakers must navigate when implementing AI. Combining theory with practice, this book will be of interest to scholars and post-graduate students in the fields of public administration, policy studies, governance as well as artificial intelligence and technology management.


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