This book explores the intricate dynamics of data-driven governance by focusing on how artificial intelligence (AI) and digital marketing strategies are employed within public institutions while navigating the critical concerns surrounding privacy. It examines the technological advancements that enable personalized public services and improved governance, but also scrutinizes the ethical implications and privacy challenges posed by the extensive use of AI in public sectors. The publication delves into case studies of successful implementations and notable failures, offering an analytical perspective on the policies and frameworks that govern the use of AI and data analytics in public administration.
"Data-Driven Governance Through AI, Digital Marketing, and the Privacy Interplay" aims to significantly influence the academic and professional discourse surrounding the use of AI in government by providing a comprehensive resource that bridges technology, policy, and ethical considerations. It is designed to foster a deeper understanding of the balance between innovation and privacy, encouraging a critical examination of current and future practices. The insights provided in this book will help shape policy decisions, contribute to the academic body of knowledge on digital governance, and propose frameworks that enhance transparency and public trust in AI applications.
The primary audience for this book includes academic researchers and students in the fields of public administration, information technology, and ethics. It is also highly relevant for policymakers, government officials, and privacy advocates who are directly involved in the crafting and enforcement of policies governing digital strategies in public sectors. Additionally, professionals working at the intersection of AI technology and public sector management will find this publication invaluable for its in-depth analysis and practical guidance on implementing effective and ethical digital solutions in governance.