In today's rapidly evolving political landscape, the intersection of democracy, leadership, and governance with artificial intelligence (AI) has become a focal point for academic inquiry and practical explorations. This book is a machine-generated overview that explores the opportunities, challenges, and impacts of integrating AI technologies in democratic processes, leadership dynamics, and sustainable governance. Through a collection of thought-provoking chapters, readers will gain insights into the transformative potential of AI that revisits the tenets of deliberative democracy, redefines leadership roles, and rejuvenates public service delivery. This volume offers a comprehensive exploration of the processes and practices of democratic decision-making, leadership development, and sustainable governance. It serves as a valuable resource to academics, policymakers, and practitioners navigating through the concepts, dimensions, and praxis of democracy, leadership, and governance. It is an important value addition to the body of knowledge and paves the way for informed decision-making and responsible application of digital technologies for good governance.
The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science handled by Subject Matter Experts and the editor(s) of this book. The editor(s) of this book selected which SN content should be auto-summarized and decided its order of appearance. Please be aware that these are extractive auto-summaries, which consist of original sentences, but are not representative of its original paper, since we do not show the full length of the publication. Please note that only published SN content is represented here, and that machine-generated books are still at an experimental stage.
The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science handled by Subject Matter Experts and the editor(s) of this book. The editor(s) of this book selected which SN content should be auto-summarized and decided its order of appearance. Please be aware that these are extractive auto-summaries, which consist of original sentences, but are not representative of its original paper, since we do not show the full length of the publication. Please note that only published SN content is represented here, and that machine-generated books are still at an experimental stage.
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