AI, Data Economy, and Behavioral Intention: Towards ethical paths.- Challenges in Artificial Intelligence and Business: An Ethical Perspective.- The Triple Axis of AI, Ethics, and Business Economics.- Evolution and Future Perspectives in AI Ethics.- City information management and climate change policies: A boundary spanning approach.- A bibliometric overview of Digitalization in Governments: Exploring main challenges and future directions.- Bridging Governance and Practice: A Systematic Review of Artificial Intelligence Potential in Healthcare.- Exploring Ethical dimensions of AI in Tourism.- Artificial Intelligence in Social Media Marketing.- Mapping brain science research and its influence on public governance: Increasing the effectiveness of public policies through behavioural change.- Integrating AI and Digital Marketing for Inclusive Governance: Liberato Map case study.

This book offers an in-depth exploration of the complex and rapidly evolving world of artificial intelligence (AI), focusing on its ethical, economic, and business dimensions. It provides a comprehensive analysis that intertwines historical context, philosophical ethics, global economic impacts, regulatory landscapes, workforce dynamics, corporate governance, consumer behavior, data ethics, and the use of AI for the good of society. After reviewing the evolution of AI, it offers insights into its historical milestones and the trajectory it may take in the future. This sets the stage for a broader discussion on how AI is not just a technological phenomenon but also a catalyst for ethical, economic, and societal transformation. The book emphasizes the importance of understanding AI’s historical development in order to gauge its potential impacts on our future. It examines various ethical theories, including utilitarianism, deontology, and virtue ethics, and their application in the realm of AI. Moreover, it explores how AI is reshaping industries, shifting market dynamics, and transforming the global economic landscape.

Jose Ramon Saura is an Associate Professor (Tenured) of Data Analytics and Digital Marketing at the Business Economics Department of Rey Juan Carlos University (URJC), Madrid, Spain. His research has primarily focused on the theoretical and practical implications of various dimensions of user-generated data and content, with an emphasis on two pivotal research methodologies applied to business and marketing: data mining and knowledge discovery. Currently, his research interests are mainly in data-driven decision-making, online privacy, online behavior and surveillance capitalism. His contributions have been published in premier international journals in the fields of business, management, economics, marketing, and the information sciences.