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Aus der Reihe: e-fellows.net stipendiaten-wissen

Nino Fabrizio Hein

Capital Market Investment Decisions under Artificial Intelligence Assistance

Cognitive and Algorithmic Bias Dynamics

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

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

Taylor and Francis Proceedings in Computer Science and Engineering

AI and Sustainable Imperative

Reimagining Tomorrow

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

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

What if the biggest obstacle to solving our problems is nothing more than a failure to believe that we can?Rick Caruso has spent his life stepping optimistically into places where other people see no way forward by asking a deceptively simple question: What can we do to make this better? From his appointment as Commissioner to the Los Angeles Department of Water and Power and later the City's troubled Police Department, to the creation of his bold and innovative real estate ventures including L.A.'s world-renowned retail center The Grove, Caruso built a reputation for finding steadfast solutions even in the face of staunch adversity. By employing the great teachers of experience and curiosity, he continues to do what he can to improve Los Angeles, the city he loves, and in Breaking New Ground, he shares lessons learned along the way--while offering us all a path forward to a better future.Again and again, Caruso discovered that breakthroughs rarely come from knowing everything at the outset. They come from asking better questions, bringing the right people into the room, listening without ego, separating ideology from reality, and refusing to give up until workable solutions emerge. Ultimately, they require a steadfast dedication to the belief that there is always a solution and that defeat is not an option.Breaking New Ground is the story of how his philosophy was forged--from the examples of immigrant grandparents and a father who lost one fortune and built another, to Caruso's own successes, failures, public battles, family life, faith, and unexpected turns through business and government.Caruso is less interested in prescribing a formula for becoming successful than in exploring how successful problem-solvers think: how they distinguish what matters from what merely makes noise; how they balance conviction with compromise; how they recognize when conventional wisdom has stopped working; and how they remain fearless enough to see difficult decisions through.Part memoir, part argument, and part blueprint for action, Breaking New Ground offers a timely proposition for anyone confronting a problem that feels too complicated, entrenched, or divisive to solve.There is always another way forward. Sometimes you simply have to be willing to build it.

The Power of Finding Steadfast Solutions

Breaking New Ground

Research in Creative Writing

Writing Human in the Age of AI

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

The Fight for the Future of Work

We Are Not Machines

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

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

This book provides a concise and interdisciplinary introduction to sustainable development, examining its historical evolution, legal foundations, and contemporary governance challenges. It traces the emergence of sustainability from early ecological warnings to its institutionalization through international frameworks, demonstrating how sustainable development has become a central organizing principle of global policy.Organized around seven thematic chapters, the book covers the conceptual and legal foundations of sustainability, its core governance principles, socio-technical transition pathways, property and commons theory, global sustainability finance, and the implications of digitalization and artificial intelligence for development. Each chapter integrates legal analysis, governance theory, and, in some cases, real-world case studies to show how sustainability principles move from rhetoric to enforceable norms. Key features include accessible chapter abstracts, a comprehensive list of abbreviations, and a structured list of figures supporting visual learning. The book approaches sustainable development not as a technical toolkit but as a political and institutional challenge requiring systemic reform.The volume is intended for undergraduate and postgraduate students in environmental studies, law, governance, economics, and public policy, as well as researchers, practitioners, and policymakers engaged with sustainability transitions, international environmental law, and development governance.

Governance, Law, and Global Transitions

A Concise Introduction to Sustainable Development

Capital Market Investment Decisions under Artificial Intelligence Assistance

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