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Dignum V: The AI Paradox

The AI Paradox

How to Make Sense of a Complex Future

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

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

Crypto Degenerates and the Rise of the Global Casino Economy

The American Meme

The next choice we make is the last chance we have. Ten thousand years ago, wild cats wandered into a human grain store. Over generations, gorged with a plentiful supply of prey, they traded their raw instincts for a life of dependency as our household pets. Today, domestic cats are more comfortable than ever but they can no longer hunt effectively. Their brains are 16% smaller than their distant ancestors. They are domesticated. AI is turning the modern world into a cognitive grain store. And we are the cats. In this groundbreaking and vital book, leading AI researcher and campaigner James F. Ryan charts our relationship with transformative technologies - from writing to AI - and explains why this time it's different. Large language models like ChatGPT are not just tools, but are remaking our brains and eroding our ability to think. From the workplace and our relationships to our schools and universities, we face an urgent battle to safeguard human thought. The Domestication sets out the evidence, the imposing challenge we face, and how we respond.

A Story of AI and the Human Mind

The Domestication

Code of Federal Regulations, Title 09 Animals and Animal Products

Title 9 presents regulations governing animal and plant health inspection services, grain inspection, packers and stockyard administration, and food safety and inspection of meat and poultry. Additions and revisions to this section of the code are posted annually by January.

Title 9 presents regulations governing animal and plant health inspection services, grain inspection, packers and stockyard administration, and food safety and inspection of meat and poultry.

Code of Federal Regulations, Title 09 Animals and Animal Products 1-199, Revised as of January 1, 2026

Pathways to China’s High-Quality Development

China’s New Quality Productive Forces

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

Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI's potential and confront its risks.Structured in three parts, the book begins with foundational frameworks-socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions-Marketing, HR, Finance, Operations, Supply Chain, and Strategy-using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features-learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas-make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Darkside
 Economics is a book about a different use of economics - as a weapon to coerce other economies or to defend them from coercion. There is intense interest in economic warfare which is much in the headlines today, but it has a long history of use and abuse.
The weapons covered include sanctions, embargoes, tariffs, technology restrictions, investment policy, financial tools and some other new instruments based on AI and crypto. We look at the history of these practices, explain how they work and estimate their effects, from the point of view of the aggressor, the target or other small countries. This includes strategic games, weapons retaliation, resilience-building, chokepoint mapping and supply chain management.
These tools often have negative economic effects, but they continue to be a central part of both diplomatic and military strategy, and they are happening in the trade wars all around us. Economists, policy-makers, students, the media and the informed public all need to understand them better. The radical ideas and intriguing stories in this short book will help them.

The Art of Economic Warfare

Darkside Economics

Springer Series in Supply Chain Management

This book analyzes the transformative potential of blockchain technology for supply chains operating under uncertainty, offering actionable frameworks and strategies for sustainable, transparent, and data-driven business networks.It analyzes how blockchain technology can optimize supply chains in uncertain environments. It explores strategic implementations across industries such as oil and gas, renewables, and omni-channel retail, addressing challenges like efficiency, transparency, security, and environmental impact. The book introduces frameworks for component vs. product tracing, two-step authentication models, integrated network design, and traffic uncertainty modeling. Each chapter presents concepotual models and decision-making tools tailored for practitioners and researchers. It examines the use of smart contracts in blockchain-enabled supply chains, showcasing their potential to automate compliance, lower transaction costs, and build trust, while addressing key challenges such as legal enforceability, code vulnerabilities, and cross-jurisdictional governance. Furthermore, it explores synergies between blockchain and complementary technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT), demonstrating how integrated systems can enable real-time tracking, predictive analytics, and autonomous decision-making in complex supply networks. It critically addresses adoption barriers and evaluates sustainability trade-offs, suggesting that these may incentivize green blockchain innovations to mitigate energy consumption concerns. By bridging theoretical foundations with real-world case studies, this book provides actionable strategies for adopting blockchain in complex, dynamic environments.This book is structured to take the reader on a journey from the fundamental concepts of blockchain in supply chains, through its practical applications and optimizations in various industries, and finally to the specific challenges and innovative solutions for implementation.

This book analyzes the transformative potential of blockchain technology for supply chains operating under uncertainty, offering actionable frameworks and strategies for sustainable, transparent, and data-driven business networks.It analyzes how blockchain technology can optimize supply chains in uncertain environments. It explores strategic implementations across industries such as oil and gas, renewables, and omni-channel retail, addressing challenges like efficiency, transparency, security, and environmental impact. The book introduces frameworks for component vs. product tracing, two-step authentication models, integrated network design, and traffic uncertainty modeling. Each chapter presents concepotual models and decision-making tools tailored for practitioners and researchers. It examines the use of smart contracts in blockchain-enabled supply chains, showcasing their potential to automate compliance, lower transaction costs, and build trust, while addressing key challenges such as legal enforceability, code vulnerabilities, and cross-jurisdictional governance. Furthermore, it explores synergies between blockchain and complementary technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT), demonstrating how integrated systems can enable real-time tracking, predictive analytics, and autonomous decision-making in complex supply networks. It critically addresses adoption barriers and evaluates sustainability trade-offs, suggesting that these may incentivize green blockchain innovations to mitigate energy consumption concerns
 .
 By bridging theoretical foundations with real-world case studies, this book provides actionable strategies for adopting blockchain in complex, dynamic environments. 
 This book is structured to take the reader on a journey from the fundamental concepts of blockchain in supply chains, through its practical applications and optimizations in various industries, and finally to the specific challenges and innovative solutions for implementation.

The AI Paradox

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