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Cowan D: Law and Technology

Law and Technology

Bridging Technology and Purpose

AI for Financial Sustainability

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Research in Creative Writing

Writing Human in the Age of AI


<p>
</p><p><b>The next choice we make </b><b>is the <i>last chance</i> we have.</b><br><br>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.<br><br>AI is turning the modern world into a cognitive grain store. And we are the cats.<br><br>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.<br><br>From the workplace and our relationships to our schools and universities, we face an urgent battle to safeguard human thought. <i>The Domestication</i> sets out the evidence, the imposing challenge we face, and how we respond.</p><p></p>


A Story of AI and the Human Mind

The Domestication


<p>
</p><p>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.</p><p>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.</p><p>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.</p><p></p>


Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

<p>This book offers a multidisciplinary analysis of the technologies that are transforming financial services, markets, and regulation. It examines the rise of digital payments, peer-to-peer lending, challenger banks, blockchain, big data, cybersecurity, and artificial intelligence. It aims to bridge the gap between theoretical knowledge and practical application while also offering guidance on how individuals, businesses, and financial institutions can leverage fintech innovations to their advantage. Not only does it discuss the current fintech trends but also explores future developments and potential disruptions in the financial sector. In an era where fintech is transforming traditional finance, this book addresses the growing need for accessible, up-to-date, and reliable information on the subject. It will be an essential resource for academics, researchers, students, and practitioners seeking to navigate the ever-evolving financial landscape.</p><p><strong>Brian Lucey&nbsp;</strong>
                    is a Professor of International Finance at Trinity Business School, Ireland. Professor Lucey has worked as a statistician in the Department of Health and as an economist in the Central Bank.&nbsp;He has studied at graduate level in Canada, Ireland, and Scotland, and holds a PhD from the University of Stirling.
                </p><p><strong>Vincenzo Verdoliva</strong>
                     is Professor of Finance at Pegaso Digital University, Italy. His main research interests include market liquidity, credit risk and financial distress, initial public offerings and venture capital, FinTech and digital transformation, lending, and relationship banking. He also serves as an Associate Editor of 
                    <em>The European Journal of Finance</em>
                    .
                </p>

The Innovations Reshaping the Financial Landscape

The FinTech Frontier

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection


<p>
</p><p>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.</p><p>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.</p><p>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.</p><p></p>


Governance, Law, and Global Transitions

A Concise Introduction to Sustainable Development

Sexual Offences in Ireland: Practice and Procedure

International Series in Operations Research & Management Science

<p>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.</p><p>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.</p>

Valid Causal Inference from Observational Data

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;
                <br>
                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.
                <br><br><br>

Artificial Security and the Politics of Hype in the EU


<p>
</p><div><div>Das erste Lexikon im Fintech-Bereich stellt mit über 800 Stichworten einschlägiges Know-how zur "Financial Technology" bereit und hilft damit bei der Klärung aktueller Begrifflichkeiten. Dem interdisziplinären Charakter der Fintech-Entwicklung zufolge sind die Begriffe an der Schnittstelle von (Wirtschafts-)Informatik, Finanzwissenschaft und Innovationsmanagement verortet. Die Fintech-Terminologie richtet sich dabei mit ihren konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende sowie Interessierte aus Wissenschaft und Praxis.</div><div><br></div><div>Die Autoren</div><div>Prof. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;</div><div>Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.</div><div><br></div><div>Würdigungen</div><div>"Aus meiner Sicht als Führungskraft einer global agierenden Bank ist das Fintech-Lexikon ein sehr gelungenes Nachschlagewerk, das alle relevanten Begrifflichkeiten in einer sehr verständlichen Art strukturiert darstellt und erläutert- eine gute Stütze, um in der Praxis die relevanten Begrifflichkeiten der Fintech-Szene im Überblick zu haben." Achim Lebeau, COO, DB Privat- und Firmenkunden AG</div><div>"Selbst gründen bedeutet in vielen Bereichen ins kalte Wasser geworfen zu werden. Man muss in kürzester Zeit zum Allround-Experten werden: im Sales, im Marketing, im Finance oder im Fundraising. Hier eine strukturierte Übersicht aller Begrifflichkeiten der Startup-Welt an der Hand zu haben, ist eine enorme Hilfe." Jenny Saft, Geschäftsführung und Co-Founderin, Oviavo GmbH</div><div>"Dieses Fintech-Lexikon bietet einen hervorragenden Orientierungsrahmen, indem es alle relevanten Begrifflichkeiten im Kontext der digitalisierten Finanzwelt aufgreift. Diese sind konsequent strukturiert und inverständlichen Worten definiert. Ein wertvoller Beitrag für die Praxis." Thomas Zerndt, CEO, Business Engineering Institute St. Gallen AG</div><p></p>
</div>

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Law and Technology

Autres titres sur ce thème