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This work meets the basic accessibility requirements. It is textually and visually accessible. It is hierarchically structured, and all relevant images have alternative text.

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Tristan Post

AI Native

Strategies for a New Generation of Companies

This is the updated and expanded edition of the only radical, multidisciplinary, international introduction to intellectual property in its socio-economic contexts. Bringing together voices from law, sociology, economics, political science, and cultural studies from across the Global North and Global South, experts and activists Mat Callahan and Jim Rogers offer a detailed history and analysis of IP before asking critical questions designed to underscore its importance in the broader struggle between capital and the commons. What are the broader implications of IP, whether for agribusiness, pharmaceuticals, education, or entertainment? Is IP law a fundamental pillar of our culture, or has it been used to protect and assert the ownership of, and thus limit, the spread of ideas and creativity? With a chapter structure moving from historical and theoretical foundations to industry-specific conflicts and policy analysis, this book covers the breadth and depth of IP areas, including patents, copyrights, trademarks, and trade secrets, as well as emerging issues such as digital rights and biotechnology. Key features include: - voluminous, up-to-date case studies, both Western and non-Western; - an extensive, jargon-busting list of abbreviations of specialized or technical terms; - a new chapter on copyright and socialism; - revisions and updates accounting for the seismic impacts of artificial intelligence. This is a foundational must-read for all researchers, students, and activists interested in critical analyses of IP laws and policies--not just their legal frameworks, but also their broader social, economic, and political implications.

A Radical Guide to the Past, Present, and Future of the Ownership of Ideas

Rethinking Intellectual Property

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

Contemporary Issues in Air Transport

Transforming Air Cargo: Innovations, Challenges, and Sustainable Solutions in a Dynamic Market examines the rapidly evolving air cargo industry, addressing the critical factors shaping its future. Sections delve into the impacts of e-commerce growth, technological advancements, the COVID-19 pandemic, and global supply chain restructuring. Topics covered include commercial and regulatory contexts such as air cargo demand forecasting and revenue management, resiliency and sustainability, air cargo flow networks, economic development, strategies for reducing CO2 emissions, including the adoption of sustainable aviation fuel (SAF), and emerging strategies such as innovative approaches of air cargo carriers and key players like Amazon Prime Air. Final sections investigate technological innovations, including advanced air mobility and digital transformation within the industry. This book is an invaluable tool for industry professionals, including air cargo operators, logistics managers, and supply chain experts, as well as academics and students in logistics, transportation, and business management. Readers will gain critical insights into market trends and challenges, empowering them to make informed strategic decisions.

Innovations, Challenges, and Sustainable Solutions in a Dynamic Market

Transforming Air Cargo

Digital Transformation and Innovation

This book explores how Generative Artificial Intelligence is reshaping creativity, innovation, and human–AI collaboration across art, design, business, and education. Taking an interdisciplinary and practice-oriented approach, the book offers conceptual frameworks and practical insights to support the active shaping of creative processes in the context of digital transformation. The book brings together international contributions from artistic practice, critical and philosophical inquiry, design and innovation research, entrepreneurial ecosystems, and future-oriented education. Structured around three thematic sections, creative practices and critical perspectives; human–AI collaboration in design and innovation; and education and future skills, the volume develops a coherent narrative on how AI transforms not only creative outputs, but also processes, roles, and ways of thinking.A distinctive feature of the book is its integration of reflective and artistic perspectives with empirical studies and real-world applications. It traces historical developments of AI in creative domains, challenges dominant narratives of generative AI, and introduces novel approaches to co-creation and human–machine partnerships. At the same time, it addresses applied contexts such as storytelling in entrepreneurial ecosystems, AI-supported design, and practical experiments in collaborative creativity. Overall, the book provides guidance for developing human-centred, responsible, and sustainable approaches to creativity in an age of co-creative intelligence.

Reframing Human–Machine Collaboration

Creativity 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

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.

Artificial Security and the Politics of Hype in the EU

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

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection

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

Turn enterprise AI into a source of strategic insight, not just productivity gains.The AI Gap by leading AI expert and keynote speaker Richard Foster-Fletcher shows business and technology leaders how to unlock greater value from enterprise AI by changing the structures, processes and culture surrounding it. Organizations invest in AI expecting new intelligence and transformative insights. Yet AI is often introduced through procurement, security, legal and compliance systems designed for standard software, restricting its potential before it can deliver on that promise. This book explains why this gap persists and what organizations must change to close it. You'll learn how to: - Identify organizational barriers limiting the value of AI - Move beyond productivity-focused AI implementation - Create conditions where AI can generate deeper insights - Enable employees to explore, experiment and challenge established thinking &gt;The AI Gap equips leaders to rethink AI implementation, create space for experimentation and turn artificial intelligence into a powerful driver of organizational insight and long-term business value. Themes include: enterprise AI, AI implementation, AI strategy, business transformation, organizational culture, AI innovation

How Business Decisions Expand What AI Can Do

The AI Gap

You know you have more to offer, but you're tired of waiting for a seat at the table to prove it. Most emerging leaders feel stuck in a holding pattern, believing that their ability to make an impact is capped by their current title or the person above them on the org chart. But influence isn't a reward for a promotion. It's a muscle you build in the mundane, everyday moments of your current role.In 90 Days to Grow Your Influence Clay Scroggins, bestselling author of How to Lead When You're Not in Charge, provides a daily roadmap for the "not-in-charge" leader. Drawing from his foundational work on leveraging influence without authority, this 90-day reader helps you navigate the tension of having great responsibility but very little power.Each day is designed to be a "snackable" but substantial 5-minute read, perfect for your morning coffee or the commute to the office. Through a mix of relatable stories, leadership metaphors, and spiritually grounded reflections, you'll learn how to: <ul><li>Understand Identity: Secure your worth in who you are, not just what you do or what your business card says.</li><li>Lead Yourself: Master the disciplines of self-awareness and emotional intelligence.</li><li>Choose Positivity: Cultivate a resilient, solution-oriented mindset that shifts the energy of every room you enter.</li><li>Think Critically: Stop being a passive observer and start solving problems.</li><li>Reject Passivity: Take ownership of the ground you're standing on today.</li><li>Challenge Well: Influence the leaders above you with relational equity and wisdom.</li></ul>Whether you are a new hire, a middle manager, or an aspiring executive, this book is your daily reminder that your seat on the org chart doesn't define your impact. You have everything you need to start leading right where you are. Real influence starts here.

Daily Habits for Leading from Any Level

90 Days to Grow Your Influence

'Michael Auerbach has one of the most original minds I've ever encountered . . . This is a dazzling and entertaining book . . . But it is also an urgent warning' PATRICK RADDEN KEEFE, author of Empire of Pain A brilliant exploration of the phenomenon of prediction markets that asks: what happens when democracy becomes another commodity? Prediction markets are sweeping the world, fundamentally changing the nature of gambling - and the very ways in which we attempt to divine the future. Posed as binary 'Yes/No' questions about future events, prediction markets allow any difference of opinion - whether on pop culture or politics, wars or assassinations - to be financialised. A regulatory minefield with moral implications that divide nations, governments and bettors, they have proved as effective at accurately predicting the timing of missile strikes as they have at calling the outcomes of elections.But are these markets really a new phenomenon? And what does it mean when those tasked with safeguarding democracy hold financial stakes in its volatility?From Renaissance Rome, where merchants wagered on papal conclaves, through nineteenth-century London's wartime coffee house gossip, to the Pentagon's ill-fated terrorism futures exchange and blockchain-based betting on Polymarket today, The Big Bet tells the gripping five-hundred-year story of a permissive regime that no one designed and no one voted for.Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future where democracy becomes just another commodity to be priced and traded. Because prediction markets are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world where everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

Prediction Markets and the Future of Democracy

The Big Bet

AI Native

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