Bożena Skotnicka-Zasadzień – författare

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.

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.

Strategic and Ethical Integration of AI in Hospitals explores the transformative role of artificial intelligence (AI) in modern healthcare. It examines the adoption, implementation, and regulation of AI in hospital settings, balancing technological innovation with clinical practice, operational management, and ethical governance. Through systematic literature reviews, conceptual modelling, and case studies from hospitals worldwide, the book provides actionable insights into how AI can enhance patient care, optimize workflows, and drive strategic decision- making. Key features include a multi- perspective approach integrating clinical, organizational, ethical, and regulatory dimensions of AI adoption. The book combines theoretical frameworks with real- world examples, offering practical strategies for navigating the complexities of AI implementation. It addresses critical issues such as data privacy, patient trust, algorithmic bias, and regional disparities, ensuring relevance across diverse healthcare contexts.

This book is ideal for academics, postgraduate students, researchers, healthcare managers, and policymakers seeking rigorous analysis and practical guidance on AI in hospitals. It is particularly relevant for institutions and regions embarking on AI adoption, offering a roadmap for responsible integration that prioritizes human capability and ethical governance.

Strategic and Ethical Integration of AI in Hospitals explores the transformative role of artificial intelligence (AI) in modern healthcare. It examines the adoption, implementation, and regulation of AI in hospital settings, balancing technological innovation with clinical practice, operational management, and ethical governance. Through systematic literature reviews, conceptual modelling, and case studies from hospitals worldwide, the book provides actionable insights into how AI can enhance patient care, optimize workflows, and drive strategic decision- making. Key features include a multi- perspective approach integrating clinical, organizational, ethical, and regulatory dimensions of AI adoption. The book combines theoretical frameworks with real- world examples, offering practical strategies for navigating the complexities of AI implementation. It addresses critical issues such as data privacy, patient trust, algorithmic bias, and regional disparities, ensuring relevance across diverse healthcare contexts.

This book is ideal for academics, postgraduate students, researchers, healthcare managers, and policymakers seeking rigorous analysis and practical guidance on AI in hospitals. It is particularly relevant for institutions and regions embarking on AI adoption, offering a roadmap for responsible integration that prioritizes human capability and ethical governance.