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Madhu Murty Ronanki: Trust at Scale

Trust at Scale

How Enterprises Build, Govern, and Operationalize AI

The Life-Changing Power of Making Do

The Jugaad Mindset

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

Artificial Intelligence and the Rule of Law

<p>This book offers a timely examination of AI regulation in the era of Industry 5.0, where innovation must be balanced with human well-being, sustainability, and responsible governance. It explores how artificial intelligence is transforming healthcare, environmental stewardship, corporate governance, digital commerce, and emerging technologies while creating new regulatory, ethical, and societal challenges. As AI increasingly influences critical decisions across healthcare systems, innovation ecosystems, educational institutions, and business environments, policymakers and practitioners face growing questions regarding accountability, transparency, safety, trust, privacy, and human rights. Addressing these concerns, this edited volume brings together leading scholars and experts to examine the evolving legal, ethical, and governance frameworks needed to support responsible AI adoption.</p><p>The chapters cover a diverse range of contemporary topics, including AI-enabled drug discovery, healthcare decision-making, medical liability, patient rights, sustainability governance, climate and environmental regulation, AI in education, intellectual property and innovation, corporate governance, e-commerce regulation, cybersecurity, regulatory sandboxes, and explainable AI in high-risk sectors. Together, these contributions provide interdisciplinary perspectives on how AI can be developed and governed in ways that foster innovation while protecting societal interests.</p><p>A central theme of the book is the Industry 5.0 vision of human-centric technological progress. The contributors highlight how effective regulation can promote trustworthy AI systems that support sustainable development, strengthen innovation, encourage responsible technological deployment, and create long-term value for society. By bridging law, policy, governance, healthcare, sustainability and technology studies, this volume offers valuable insights into the opportunities and challenges of AI-driven transformation. It provides a forward-looking resource for understanding how regulatory frameworks can enable innovation while ensuring that technological advancement remains ethical, inclusive, and sustainable.</p><p>This book is intended for researchers, academics, policymakers, regulators, healthcare professionals, technology practitioners, industry leaders, graduate students, and readers interested in artificial intelligence, Industry 5.0, sustainability, healthcare innovation and emerging technologies.</p>

Healthcare, Sustainability, Innovation and Emerging Technologies

AI Regulation in Industry 5.0


<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>

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

Corporate Governance in the Age of Artificial Intelligence

Contributions to Economics


<p>
</p><p>Artificial intelligence is not just transforming the economy; it is fundamentally redefining the core principles of economic theory.</p>
<p>From the Phillips Curve to portfolio optimization, and from the Laffer Curve to Lewis’s dual-sector model, the core frameworks that have shaped economics for over a century are now evolving through intelligent machines, algorithms, and data-driven decision-making. In this work, Tshilidzi Marwala reanalyzes 18 fundamental principles of economic thought, such as demand and supply, rational choice, information asymmetry, mechanism design, agency theory, comparative advantage, growth, governance, and market efficiency, from an AI perspective.</p>
<p>Drawing on economics, artificial intelligence, finance, public policy, and global governance, the book explains how AI is changing productivity, labor markets, inflation, competition, taxation, and the relationships between states, companies, and citizens. It shows that traditional ideas based on scarcity, human labor, limited rationality, and static institutions are gradually being replaced by a modern economic framework driven by intelligent capital, algorithmic coordination, and autonomous systems.<br><br>The outcome is a comprehensive and timely framework for understanding the political economy of the AI era, detailed in analysis, globally oriented, and essential for policymakers, scholars, business leaders, and anyone seeking to understand how intelligence is becoming the primary driver of economic transformation.</p><p></p>


<p>Artificial intelligence is not just transforming the economy; it is fundamentally redefining the core principles of economic theory.</p><p>From the Phillips Curve to portfolio optimization, and from the Laffer Curve to Lewis’s dual-sector model, the core frameworks that have shaped economics for over a century are now evolving through intelligent machines, algorithms, and data-driven decision-making. In this work, Tshilidzi Marwala reanalyzes 18 fundamental principles of economic thought, such as demand and supply, rational choice, information asymmetry, mechanism design, agency theory, comparative advantage, growth, governance, and market efficiency, from an AI perspective.</p><p>
                    Drawing on economics, artificial intelligence, finance, public policy, and global governance, the book explains how AI is changing productivity, labor markets, inflation, competition, taxation, and the relationships between states, companies, and citizens. It shows that traditional ideas based on scarcity, human labor, limited rationality, and static institutions are gradually being replaced by a modern economic framework driven by intelligent capital, algorithmic coordination, and autonomous systems.
                    <br><br>
                    The outcome is a comprehensive and timely framework for understanding the political economy of the AI era, detailed in analysis, globally oriented, and essential for policymakers, scholars, business leaders, and anyone seeking to understand how intelligence is becoming the primary driver of economic transformation.
                </p>

How AI Rewrites Theory, Markets, and Policy

Intelligent Economies


<p>
</p><p>Many existing textbooks in behavioural finance take only the perspective of users of financial information, but ignore the implications of judgments during the preparation of financial information. This book uses a holistic approach in examining behavioural accounting and bridges this gap.</p><p>The book begins by introducing the current knowledge in the emerging area of behavioural accounting and also covers the entire spectrum from the preparation of financial information, auditing, and ultimately, to the interpretation and application of financial information of external users. The comprehensive overview of human elements in accounting makes this book an invaluable resource.</p><p></p>


This book examines behavioural accounting and bridges the gap where existing textbooks in behavioural finance take only the perspective of users of financial information, but ignore the implications of judgments during its preparation.

Behavioural Accounting

Enhancing Food Security and Sustainability

Rice Processing and Technology


<p>
</p><p><b>'Book of the Year' as chosen by <i>The Conversation</i></b></p><p><b>'Disconcerting . . .</b><b> a disturbing and important book' <i>NEW SCIENTIST</i></b></p><p><b>'Smart and wonderfully readable' <i>NEW YORK TIMES</i></b></p><p><b>The bad science and sinister ideas behind Silicon Valley's foolish obsession with immortality, AI paradise and limitless growth.</b></p><p>Tech billionaires have decided that they should determine our futures for us. According to Elon Musk, Jeff Bezos, Sam Altman and more, the only good future for humanity is one powered by technology: trillions of humans living in space, functionally immortal, served by superintelligent AIs.</p><p>In <i>More Everything Forever</i>, scientist and writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow to reveal why, in reality, there is no good evidence that they will, or should, come to pass. The giants of Silicon Valley claim that their ideas are based on science, but the truth is darker: they come from a jumbled mix of shallow futurism and racist pseudoscience. And behind these fanciful visions of space colonies and digital immortality is a cynical power grab, at the expense of essential work spent on solving real problems like the climate crisis.</p><p><i>More Everything Forever</i> exposes the powerful myths that dominate Silicon Valley, challenging us to see how foolish, and dangerous, these visions of the future are.</p><p></p>


AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

More Everything Forever


<p>
</p><p>An evolved form of leadership is deeply desired and needed in the world, and many people sense this possibility within themselves. They feel called to lead with greater presence, authenticity, and heart, and to create more relational organizations and systems. What this signals is a readiness for a profound inner shift that allows them to lead from an awakened dimension of themselves--yet they often do not know how to actualize that because they lack a clear developmental pathway. </p><p><i>A Sovereign Being</i> provides that path by establishing a paradigm of leadership not yet fully articulated in contemporary works, even by authors such as Otto Scharmer and Frederic Laloux, who point towards the organizational potentials of advanced states of personal consciousness but do not provide a clear developmental path for people to actually attain it. This book addresses that gap by asking what it truly takes to develop as leaders who embody higher states of consciousness and, by extension, build more enlightened organizations and systems. VanderPol defines this form of leadership as evolutionary leadership.</p><p></p>


The Way of The Evolutionary Leader

A Sovereign Being

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

Trust at Scale

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