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Dignam A: Corporate Governance in the
Age of Artificial Intelligence

Corporate Governance in the Age of Artificial Intelligence

Corporatism and Neoliberalism in a Global Era

The World Economic Forum and COVID-19

Contributions to Economics

Pasquale L. Scandizzo holds a Ph.D. from the University of California, Berkeley. He is Professor of Political Economy, past Director and Fellow of the Center for Economic and International Studies, Senior Fellow and Member of the Advisory Board of the University of Rome “Tor Vergata” Foundation, President of the Villa Mondragone Economic Development Association, President Emeritus of the Italian Society of Development Economics, and Chairman of OpenEconomics International, a university spin off focusing on project evaluation and economic development. His former institutional positions include the Governing Board of the Italian Institute of Statistics, the Italian Institute for Economic Planning (President), the National Planning Board, the Italian Parliamentary Budget Committee (Senior Adviser), the Ministry of Economics and Finance (Economic Adviser) the World Bank (Senior Economist and Research Coordinator). He has developed widely published methodologies to evaluate public investment programs, by combining option theory, cost benefit analysis and computable general equilibrium methods, and
 
 has been advising the World Bank and other multilateral institutions on the applications of these methodologies to policies of sustainable development.

This study explores the transformative potential of Artificial Intelligence (AI) in the tourism sector, emphasizing its role in enhancing service quality, operational efficiency, and global reach. To assess future impacts, the study uses a Social Accounting Matrix (SAM) and a Computable General Equilibrium (CGE) model built on GTAP 11 data. A scenario analyzing €66 billion in AI-tourism investments across G7 and other nations suggests strong short-term returns, particularly for capital and skilled labor, with the U.S. leading due to favorable infrastructure and market conditions. These findings point to the need for skill development and equitable policy design. AI’s capacity to personalize experiences and optimize operations positions it as a key driver of sustainable growth in tourism, with considerable economic spillovers and transformative potential across global markets.

A General Equilibrium Analysis

Tourism, Structural Features and Artificial Intelligence

Institutionalisations, Regulation, Governance

Global Value Chains and the Law

Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications

This book introduces cutting-edge computational optimization techniques designed especially for AI enabled systems. These techniques inculcate advanced algorithms with real world applications to enhance efficiency and accuracy. Its focus on the hybrid and ensemble models makes it stand out, presenting novel and creative solutions for the complex problems. Through case studies and real-world applications the book not only highlights the theoretical aspects of the optimization techniques but also provides a link between theory and practice. With the help of clear explanations and practical examples the book empowers the readers to delve into the complex problems and providing optimized solutions leading to enhancing the performance of AI enabled systems.&nbsp;The book explores the advanced computational optimization techniques covering wide range of topics like nature-inspired algorithms, metaheuristics and hybrid optimization methods. This book caters the need of AI researchers, data scientists and machine learning engineers who aim to optimize their models and algorithms. It will be a valuable resource for the academicians and students studying AI and its related subfield. Professionals in the field of finance, healthcare, agriculture, education where AI applications are prevalent, will benefit from the practical insights provided. Overall, it caters to anyone interested in enhancing AI systems through sophisticated optimization strategies.

Computational Optimization Techniques for Artificial Intelligence Enabled Environments

Compared to their larger Asian counterparts, Philippine conglomerates have tracked a unique growth trajectory in the face of chronic poverty, economic inequality, and political conflict. While there are many studies about the zaibatsus of Japan and the chaebols of South Korea, there has been minimal research on Philippine conglomerates and their contributions to the successful turnaround of an economy that was once considered the region's perennial laggard.In this collection of essays, the authors interrogate the relationship between conglomerates and inclusive development by highlighting the Philippine experience and comparing it with those of other Southeast and East Asian economies, notably Vietnam, Indonesia, and South Korea. Have Philippine conglomerates been central to the country's economic miracle? How have they contributed to the attainment of the government's inclusive development agenda? What can be learned from the successes and failures of other Asian conglomerates? These are the key themes this volume seeks to answer to shed light on how conglomerates have impacted the course of the country's economic development.

Philippine Conglomerates And Inclusive Development: Tracking A Unique Trajectory In Asia

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the 21st century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

Law and Practical Reason

Moral Responsibility and Artificial Intelligence

Emerging Trends in Science, Innovation and Business

"Federated Learning Applications in Healthcare: Empowering Wellness" is an ambitious and timely endeavor aimed at providing a comprehensive exploration of the intersection between federated learning and healthcare.Federated learning, a decentralized machine learning approach that enables model training across multiple devices or institutions without centralized data sharing, holds immense promise for revolutionizing healthcare by facilitating collaboration, preserving patient privacy, and improving healthcare outcomes. This book aims to unravel the complexities of federated learning and demonstrate its transformative potential in various healthcare applications. Through a combination of theoretical insights, practical guidelines, case studies, and real-world examples, the book aims to empower readers to harness the potential of federated learning to address pressing healthcare challenges effectively.Whether readers are healthcare professionals seeking to leverage data-driven approaches to improve patient care, researchers exploring innovative solutions at the intersection of machine learning and healthcare, policymakers grappling with regulatory and ethical considerations, or technologists developing cutting-edge healthcare solutions, this book serves as a valuable resource for understanding, implementing, and advancing federated learning in healthcare.

Empowering Wellness

Federated Learning Applications in Healthcare

Reciprocity begins with a simple but unsettling question: why have we come to believe that human beings are naturally self-interested, competitive and acquisitive? This galvanising, perspective-shifting book dismantles the myth of Homo economicus to show us the way towards a world whose realities align with our true selves.Drawing on a variety of disciplines, including anthropology, archaeology, evolutionary biology, psychology, economics and social epidemiology, Richard Wilkinson demonstrates that the characteristics which we assume to be our human nature are in fact effects of the market societies we live in. He traces how various systems of exchange have created profoundly different forms of social life throughout the course of history, shaping our behaviours, motivations, and the kinds of people we become. Though it may often feel like it, the avarice and oppressions that defines the twenty-first century are not an unchangeable reality we simply have to live with.The book explains why inequality, status competition and consumerism hold so much power over us and reveals the depths to which these forces are entwined with the ever-rising crises of mental illness, political polarisation and environmental destruction. Rather than asking how we can make individuals behave better, it makes a compelling case for restructuring our societies to make life happier, meaningful and more fulfilling for one and all.Rigorously researched, bracingly practical and full of passion and hope in equal measure, Reciprocity offers a bold reinterpretation of the world we live in. It equips us with the necessary tools to look beyond and remake it in our very own, amiably human image.

Reclaiming Our Humanity from the Market

Reciprocity

Corporate Governance in the Age of Artificial Intelligence

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