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Law and Criminology (R0)

Armando Aliu

Artificial Intelligence and the Rule of Law

The Age of Legal Tech and Digital Governance in a Fractured Digital World

&lt;p class="MsoNormal" style="line-height: normal; tab-stops: 29.95pt 30.0pt;"&gt;&lt;span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"&gt;Chapter 1. Introduction:&lt;span style="letter-spacing: -.1pt;"&gt; AI Interdisciplinarity and the Rule of Law &amp;ndash; The Age of Legal Tech and Digital Governance Shaped by Digital Ethics, Responsible AI, and AI4People (&lt;/span&gt;&lt;em style="mso-bidi-font-style: normal;"&gt;Armando Aliu &amp;amp; Dorian Aliu&lt;/em&gt;).- Chapter 2. The Role of the Arts and Humanities in Thinking about AI (&lt;em style="mso-bidi-font-style: normal;"&gt;John Tasioulas&lt;/em&gt;).- &lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp;&lt;/span&gt;Chapter 3. The Trio of Computational Jurisprudence: History, Present, and Future (&lt;em style="mso-bidi-font-style: normal;"&gt;Surong Zhu &amp;amp; Guoyang Ma&lt;/em&gt;).- Chapter 4. Contribution to an Algorithm for the Rule of Law (&lt;em style="mso-bidi-font-style: normal;"&gt;Mohamed Ben Achour&lt;/em&gt;).- Chapter &lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp;&lt;/span&gt;5. From Procedural Fetishism to Substantive Due Process in AI Governance and Digital Constitutionalism (&lt;em style="mso-bidi-font-style: normal;"&gt;Monika Zalnieriute&lt;/em&gt;).- Chapter 6. The Right to Be Forgotten Meets Machine Learning: Evaluating the Legal Feasibility of Unlearning Methods (&lt;em style="mso-bidi-font-style: normal;"&gt;Liane Rose Colonna &amp;amp; &lt;/em&gt;&lt;/span&gt;&lt;em style="mso-bidi-font-style: normal;"&gt;&lt;span lang="TR" style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: TR;"&gt;Tobıas Oechterıng&lt;/span&gt;&lt;/em&gt;&lt;span lang="TR" style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: TR;"&gt;).- &lt;/span&gt;&lt;span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"&gt;Chapter 7. Towards a General Principle of Vulnerability: Is Private Law Ready for the Digital Age? (&lt;em style="mso-bidi-font-style: normal;"&gt;Bego&amp;ntilde;a Gonzalez Otero&lt;/em&gt;).- Chapter 8. International Law between Enhanced Anthropocentrism and Post-Anthropocentrism: The Need for an International Treaty on Bio-Technological Ethics (&lt;em style="mso-bidi-font-style: normal;"&gt;Themistoklis Tzimas&lt;/em&gt;).- Chapter &lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp;&lt;/span&gt;9. The EU AI Act and the Future of AI Governance: Implications for U.S. Firms and Policymakers (&lt;em style="mso-bidi-font-style: normal;"&gt;David Krause&lt;/em&gt;).- Chapter 10. Conclusion: Future of AI and the Rule of Law &amp;ndash; Ethics and Regulatory Framework in Legal Tech and Digital Governance (&lt;em style="mso-bidi-font-style: normal;"&gt;Armando Aliu, Rūta Liepiņa, Sofia Klymchuk, Ikran Abdirahman, Beatrice Panattoni, Josh Lee Kok Thong&amp;nbsp;&lt;/em&gt;&lt;/span&gt;&lt;em style="mso-bidi-font-style: normal;"&gt;&lt;span lang="TR" style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: TR;"&gt;&amp;amp; Hellen Van Der Kroef&lt;/span&gt;&lt;/em&gt;&lt;span lang="TR" style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: TR;"&gt;). &lt;/span&gt;&lt;/p&gt;

How Technology Transforms Jobs, Markets, Life, & Our Future

AI Economics

A world transformed demands governance transformed.
In a world defined by accelerating technological change, deepening polarization, and an erosion of shared reality, Restoring Truth and Trust: An Agenda for the Intelligent Age offers a clear, grounded, and hopeful path forward. Drawing on 55 years of service to the global public interest, Klaus Schwab reflects on what it will take to navigate the transition from the Industrial Age to a truly Intelligent Age, one guided not merely by algorithms and data, but by values, responsibility, and human dignity.
Through a powerful blend of analysis, lived experience, and philosophical insight, this book explains why truth and trust have become the defining fault lines of our time, and how societies, institutions, and individuals can rebuild them. It presents constructive optimism not as idealism but as a disciplined and responsible approach to shaping a better future.
From corporate governance to environmental stewardship, from the social contract to globalization, from education to leadership, this book outlines a comprehensive, values-based agenda for how humanity can master the Intelligent Age rather than be mastered by it.
Restoring Truth and Trust is the third volume of Schwab's Intelligent Age Series. It is a compelling call to action for global citizens who refuse to accept decline as destiny, and who are ready to help build a more intelligent, humane, and trustworthy future.
The future can - and must - be better than the present.

An Agenda for the Intelligent Age

Restoring Truth and Trust

This book analyses the right to water and sanitation at both the international level and national levels. At a national level the book examines the law in India relating to both recognition and realisation of the rights. The book considers the complex legal framework in place at the union and state level for the realisation of the rights.

This book analyses the right to water and sanitation at both the international level and national levels. At a national level the book examines the law in India relating to both recognition and realisation of the rights. The book considers the complex legal framework in place at the union and state level for the realisation of the rights.

The Case of India

Realizing the Right to Water and Sanitation at the International and National Levels

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.
 
 Die AutorenProf. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.
 
 Würdigungen„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„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„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

Dieses Buch hilft dem Leser im Umfeld der Digitalisierung bei der Begriffsklärung und stellt einschlägiges Know-how zur Verfügung.&nbsp;Was bedeutet 42? Was ist eine Subchain? Was ist der Unterschied zwischen Robotics und Artificial Intelligence? Der Schwerpunkt liegt dabei auf den Entwicklungen, die seit 2010 mit der Digitalisierung unter dem Namen "Financial Technology" eine zunehmende Verbreitung erlebt haben. Die Begrifflichkeiten umfassen grundlegende Begriffe, die Eingang in die allgemeine Sprache gefunden haben, wie etwa Artificial Intelligence oder Blockchain, aber auch fachspezifische Termini, die für das Verständnis der einzelnen Technologien notwendig sind (zum Beispiel 42, Nonce). Die Fintech-Terminologie bietet dem Leser einen konzisen und gleichzeitig anschaulich dargestellten alphabetisch geordneten Überblick mit den darin enthaltenen praxisorientierten Antworten.

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Tokenisation is the new champion of digital transformation: a revolution that strikes at the heart of industry and commerce by elevating the humble ledger to global scale.While other technologies stole the headlines, tokenisation quietly and steadily got to work, becoming the engine room that is now powering a wave of innovation across sectors. It is driving out inefficiency, eliminating friction, mobilising data, and enabling distributed processes built on the principles of transparency, equitable access, and trust.From theory to practice, this clear and compelling guide explores the foundations and applications of tokenisation. Starting from such blockchain essentials as cryptographic keys, wallets and transactions, it moves into the truly transformational world of smart contracts, distributed databases and interoperability before analysing real-world applications in trade finance, healthcare, wealth management, and real estate.Wherever you look, tokenisation is turning bold ideas into operational reality. This isn't theory; it's infrastructure. And it's here.Whether you are a curious newcomer or a seasoned technologist, Tokenisation Applied looks beyond the hype to demonstrate where and why this technology matters.Part primer, part playbook, it is an essential roadmap to the Web3 future.

A Business Leader's Guide to Blockchain, Smart Contracts, and Unlocking Web3

Tokenisation Applied

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

Preface.- Chapter 1: A World in Transition.- Chapter 2: The Luddite Complex and the Psychology of Resistance.- Chapter 3: Man and the Machine – The Human-Machine Relationship.- Chapter 4: Technological Progress Driving Social Progress.- Chapter 5: Education in the Supply Chain – Systemic Overhaul.- Chapter 6: The Rise of the Knowledge Worker 3.0.- Chapter 7: Organizing Principles – From Hierarchies to Networks.- Chapter 8: Social Policy and Economic Equity.- Chapter 9: Conscious Capitalism and the Modern Social Contract.- Chapter 10: Sector Deep Dive – Logistics, Trucking, and the Automation Paradox.- Chapter 11: Strategy Map 2.0 – A 21st Century Vision for Human Capital.- Conclusion – Designing the Human Future.

This book aims to redefine how organizations view talent, skills, and workforce readiness in the 21
 st
 century. The rapid acceleration of artificial intelligence, machine learning, and digital transformation is reshaping the global workforce at an unprecedented pace. As businesses grapple with the profound impact of these changes, the need for a comprehensive framework to navigate this transformation is critical. 
 TheHuman Capital Supply Chain in the Age of AI
 offers a groundbreaking approach to workforce strategy, integrating insights from data science, economic theory, sociology/psychology, and human capital management to create practical ideas for leaders, educators, and policymakers in the 21
 st
 century.
 
 This book focuses on strategic orchestration of people across roles, locations, and skill levels as flexible supply chain actors, enabled through AI-driven workforce forecasting, intelligent learning pathways, and real-time deployment models. Where 
 The Magic Conveyor Belt
 examines human-machine collaboration in logistics, my narrative shifts the spotlight to human capital as integral pipeline - managing assets, quantifying and integrating them into supply chain operations to drive resilience and innovation. It explores how data-driven decision-making, digital credentials, and AI-driven skills assessment can bridge the gap between education and employment, creating a resilient, adaptable workforce prepared for the jobs of the future.
 This frameworks and execution blueprint empowers organizations and leaders to transform talent strategy into a dynamic, data-driven supply chain, thereby placing human capital firmly at the center of AI‑infused operations.What You Will LearnThe transformation from knowledge to learning economiesThe role of digital credentials and learning recordsWorkforce strategy in an age of disruptionWho This Book is ForBusiness leaders, HR professionals, educators, policymakers, and technology experts seeking a practical guide to workforce strategy and talent management in the digital age.

Workforce Transformation, Strategy, and the Future of Work

Human Capital Supply Chain in the Age of AI

Intelligent Manufacturing and Industrial Engineering

Smart Industries in the Gig Economy: Scope, Opportunities, and Challenges discusses topics from manufacturing to service sectors, from startups to established corporations, and from localized operations to global networks using the threads of Smart Industries and the Gig Economy to weave a tapestry of innovation and change.

This book revolves around the Gig Economy and its multifaceted implications. It takes a broad view by examining the opportunities and challenges posed by the interplay between Smart Industries and the Gig Economy. Smart Industries in the Gig Economy: Scope, Opportunities, and Challenges discusses topics from manufacturing to service sectors, from startups to established corporations, and from localized operations to global networks using the threads of Smart Industries and the Gig Economy to weave a tapestry of innovation and change. It provides a panoramic view of Smart Industries in the context of the Gig Economy and emphasizes the recent cutting-edge technologies like Robotics, Artificial Intelligence, the Internet of things, Quantum Technology, Semiconductors, Additive Manufacturing, etc. The book focuses on the intervention of the Gig Economy in major cutting-edge technologies of the global industrial revolution working towards automation and its impact on enhancing smart industries. Written as a reference for students, scholars, lecturers, researchers, scientists, experts, specialists, and engineers, this book represents an area of significant interest and importance in the realm of smart industries and the Gig Economy.

Scope, Opportunities, and Challenges

Smart Industries in the Gig Economy

A Commentary

The EU Artificial Intelligence Act

This innovative textbook edited by international experts in technology law and policy provides a comprehensive and accessible guide into the fast-evolving landscape of technology law and policy in the UK and the EU. The recent wave of regulatory reforms adopted by UK and EU regulators increases the complexity of Internet law as it had developed in the past decades. Recognising the ever-growing importance of artificial intelligence in today's public discourse, the textbook extends beyond traditional legal sectoral frameworks, and explores the intersection of law, technology, and public policy to describe and critically reflect on current and emerging issues in the modern information society. This exploration follows thematic areas of interest, such as adtech, privacy by design, predictive policing, and social media, while also providing accessible historical overviews of how policy has developed in specific fields including platform liability, copyright, or data protection, and case studies on key topics. The companion website provides multimedia resources to delve deeper into specific topics; introductory materials for readers that are unfamiliar with the EU legal system; and teaching resources. Law, Policy, and the Internet is an essential resource for anyone seeking to navigate the complexities of internet regulation in an era of exponential technological change.

Law, Policy, and the Internet

Chapter 1: Six Thinking Dimensions.- Chapter 2: White Dimension - The Factual AI-powered Viewpoint.- Chapter 3: Red Dimension - Feelings and Instincts AI-powered Viewpoint.- Chapter 4: Black Dimension - Judgement and Evidence AI-powered Viewpoint.- Chapter 5: Yellow Dimension - Optimistic AI-powered Viewpoint.- Chapter 6: Green Dimension - Creativity AI-powered Viewpoint.- Chapter 7: Blue Dimension - Process Management AI-powered Viewpoint.- Chapter 8: Six Thinking Dimensions - Holistic AI-powered Viewpoint.

Agentic Hyper-Personalized Dimensions – Six Dimensions of Business Dark Data
 explores how generative AI (Gen-AI), combined with agentic intelligence, can transform raw enterprise data into hyper-personalized, actionable insights. This book introduces a practical framework for building AI-powered agent swarms that operate across six critical dimensions of business dark data, empowering intelligent automation, decision augmentation, and strategic foresight at unprecedented scale.
 In an age when data is underutilized, organizations are overwhelmed by complexity, latency, and fragmentation. Traditional analytics pipelines fall short in handling dynamic environments and human-centric demands. This book addresses this critical gap by detailing how autonomous Gen-AI agents — built on foundational disciplines of data engineering, data science, and machine learning — can process, personalize, and operationalize hidden insights buried deep within enterprise systems. The six dimensions presented in the book form a cognitive and computational blueprint that guides the design, deployment, and evolution of agentic swarms. Each dimension focuses on a specific mode of intelligence — such as contextual reasoning, emotional alignment, or real-time adaptive sensing — and shows how AI agents can specialize within each domain to maximize business impact.Readers won’t just learn theory — they’ll explore field-tested methodologies to deploy Gen-AI-powered solutions at enterprise scale. From zoned data lakes and transformer models to swarm governance and consensus mechanisms, the book walks readers through the full life cycle of building intelligent systems that learn, evolve, and act with purpose. What makes this book essential — and unlike others in the market — is that the author is not writing from the sidelines. He is actively architecting and delivering these systems today, with firsthand insight into what works, what fails, and what the future holds. The methodology presented blends system design, human-aligned AI, industrial automation, and trusted decision-making, offering readers a rich and practical road map for AI-first enterprise innovation.What You Will Learn<ul><li>How to structure AI-powered agents across six interlinked cognitive and computational dimensions to effectively process dark data and deliver hyper-personalized, real-time business insights.</li><li>Practical knowledge on how to orchestrate swarms of Gen-AI agents — governed by Councils — that collaboratively manage complexity, detect emerging patterns, and operate autonomously in enterprise environments.</li><li>The foundational and advanced skills required to implement generative AI and agent-based intelligence within large-scale, multi-cloud, and hybrid business ecosystems.</li></ul>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;Who This Book is ForThis book is designed for professionals and practitioners operating at the intersection of artificial intelligence and business transformation. It is ideal for AI developers, data scientists, solution architects, enterprise engineers, and technical managers who are looking to move beyond the hype of generative AI and apply it meaningfully within industrial and enterprise-grade ecosystems.

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

A town spoke. Something larger answered.

In September 2025, a township board in rural Michigan voted to reject a data center. Two days later, the developer sued. Within three weeks, the project was approved anyway.

THIS IS SERVER COUNTRY tells-through vivid narrative and clear-eyed analysis-the story of America's largest private infrastructure buildout. A trillion dollars. Six hundred projects. A power grid racing to keep up.

This book follows the people caught in the buildout, explains how the machines actually work, and asks why farmland instead of shuttered factories. It traces the current backward from silicon in Taiwan to sandy loam in Saline-and reveals who builds, who benefits, and who pays, where local zoning meets great-power politics.

The book covers: How AI inference works and why it demands unprecedented compute power. 
Why data centers choose farmland, not cities. 
The trillion-dollar capital wave reshaping American infrastructure. 
State incentive wars and community resistance. 
The nuclear renaissance and natural gas reality.
Export controls and the geopolitics of AI.



The railroads opened the West. The interstates created the suburbs. The AI boom follows the same pattern, at faster speed-but to what end, we know not yet.

AI, Power, and the Remaking of Rural America

This Is Server Country

Artificial Intelligence and the Rule of Law

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