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Gesamtkatalog

Catalogue complet

Magwenjere: Governing the AI Machine

Governing the AI Machine

The G.A.M.E. Framework for Enterprise Risk and Board Accountability

The digital revolution has significantly transformed the global business landscape. As digital technologies continue to disrupt traditional business models, organizations across sectors are compelled to rethink their strategies for growth, resilience, and sustainability. The convergence of innovation, artificial intelligence, big data, blockchain, and digital marketing has not only created new avenues for competitiveness but also brought forth complex challenges for businesses aiming to stay relevant in a rapidly evolving ecosystem. This book, "Navigating Digital Disruption - Strategies for Sustainable Business Management", is a scholarly compilation of selected research papers presented at the International Conference on Advanced Research in Digital Age (ICARD-25) held at BIITM, Bhubaneswar. The contributions in this volume stem from rigorous academic inquiry and practical insights, aimed at offering a roadmap for managing digital trans¿formation while ensuring sustainability.

Navigating Digital Disruption: Strategies for sustainable business management

We started this book with a simple question: How
risky is too risky?
Risky or Too Risky
159
After five chapters and fifty conversations, the answer is clear:
The only risk that's too risky is the risk of relevance.

Everything else? That's just business.

And as our accidental risk managers, trust-but-verify practitioners, human-centered leaders, and intelligently aggressive innovators have shown us:
When you approach risk with wisdom, courage, and humanity, even the riskiest ventures can become your greatest opportunities. The future doesn't belong to the risk-averse or the
reckless.

It belongs to the risk-intelligent-those who see uncertainty not as a threat to be eliminated, but as a canvas for creation.
Your canvas is waiting. Your team is ready. The only question left is: What risk will you take
tomorrow that your competition is too scared to
take today?

Because in the end, that's not just risk management. That's leadership.
And that's how you build the future-brick by brick. We asked, How risky is too risky?
Now we know:
Not taking any risks at all.

That's too risky.

Tales from the Brick by Brick Pod

Risky or Too Risky

The AI-Ready CFO directly addresses the challenges of AI-driven transformation, offering finance leaders a clear framework for making informed technology decisions, smoothly integrating AI into existing processes, and successfully leading transformation. Drawing upon the author's extensive experience as a CFO and advisor in finance innovation, the book prioritizes real-world implementation and provides specific, actionable guidance. Readers will gain a practical understanding of AI technology, including its strengths and limitations, enabling them to confidently evaluate AI platforms, effectively negotiate with vendors, and ensure successful deployments. Additionally, the book tackles crucial leadership issues, including reorganizing finance teams, establishing effective data governance, managing risk and compliance, and navigating the complexities of organizational change. With relatable case studies from real-world implementations, The AI-Ready CFO answers the practical questions CFOs face every day: <ul> <li>How do I choose the right AI vendors and technologies?</li> <li>What is the best way to integrate generative AI into our financial workflows?</li> <li>How should I structure, train, and prepare my finance team for these changes?</li> <li>What governance frameworks, internal controls, and compliance considerations do I need to manage?</li> </ul> The AI-Ready CFO equips finance leaders to confidently navigate AI adoption, bridging the crucial gap between technological promise and practical, real-world execution in finance.

A Strategic Guide to Evaluating and Implementing Ai, Automation, and Analytics

The Ai-Ready CFO

KI ist nicht das Projekt. KI ist der Stresstest Ihrer Führung.
Während viele Unternehmen Pilot um Pilot starten, entstehen parallel neue Risiken: unklare Verantwortung, Schatten-Governance, Kostenexplosion, Compliance-Lücken - und eine Organisation, die schneller wird, aber nicht stabiler.
Die Wirbelsäule der Zukunft liefert den fehlenden Bauplan: Wie Sie KI als Transformationsmotor nutzen, ohne Ihre Organisation zu überdehnen.
Sie erhalten ein praxiserprobtes Leadership- und Governance-System, das Vision, Kultur, Portfolio und Betrieb zusammenführt - damit aus KI-Inseln ein skalierbares Programm wird.

- Board-taugliche Entscheidungsrahmen inkl. Rollen, Eskalationswegen und Steering-Committee-Setup
- One-Page Governance-Canvas + 8 präzise Board-Fragen für Strategy Sessions
- Programm- und Portfolio-Logik: Priorisierung, Ressourcensteuerung, Pilot-Gates, Lernzyklen
- Use-Case-Blueprints, u. a. Customer Data Product, Decision Support und GenAI-Produktinnovation
- KPI-Dashboard-Template: von Pilot zu Skalierung zu Produkt
- Pilot-Readiness-Checklist für Privacy, Security und IP
- FinOps für KI: Kostenmodelle, Reporting und Skalierung ohne Budget-Schock
- Must-Klauseln für NDA, AVV, IP-Ownership und Exit-Regeln
- Reskilling als Business Case: Wertschöpfung erhöhen statt Wissen verlieren
- Kultur- und Change-Hebel: psychologische Sicherheit, Feedback, Lernreife und Führungsrituale
Die Zukunft gehört nicht den Lautesten und nicht den Schnellsten. Sie gehört den Unternehmen, die mit einer starken Wirbelsäule Klarheit in Entscheidungen, Disziplin in der Umsetzung und Stärke in der Führung verbinden.
Genau das zeigt dieses Buch: wie Unternehmen ihre Wirbelsäule stärken, Komplexität beherrschen und Wandel in echte Wirkung verwandeln.

Leadership, KI und die industrielle Revolution der Organisationen

Die Wirbelsäule der Zukunft

Routledge International Studies in Money and Banking

This book examines the role of strategic risk management (SRM) in the transformation of banks and their customers towards more sustainable business practices. Banks play a particularly important role in this transformation because they have been tasked with redirecting capital flows to sustainable investments.This book has two inter-related aims: to provide the reader with an analysis of the challenges associated with implementing strategic risk management as discussed in the existing literature, as well as to conduct an empirical investigation into SRM implementation in a large European bank headquartered in the Nordic region. The book consists of seven chapters. Chapters 1-3 introduce the main concepts, research questions, and theoretical framework. Chapters 4-6 describe the integration challenges associated with SRM in an empirical context, that is, Nordbank. Finally, Chapter 7 presents key insights and avenues for future research.The book will benefit readers in a variety of ways, including providing an overview of the existing literature, the latest developments in environmental, social, and governance (ESG) regulation, and in-depth empirical insights into an organisation and its management who are currently implementing SRM as part of their sustainable transformation. It is intended for scholars and students in the business and management disciplines, as well as the sub-fields of accounting, finance, and strategic management.

Strategic Risk Management and Sustainable Banking

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to:- Define a clear strategy for integrating agentic AI- Establish governance frameworks to manage risk and accountability- Drive workforce adoption and address resistance to AI collaboration- Assess economic value and impact of agentic AI systems- Manage reputational and operational risks from AI agent behaviorFeaturing real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Contemporary Debates in Philosophy

A cutting-edge selection of current issues and explorations of the ethics of artificial intelligence As artificial intelligence continues to influence virtually every facet of modern life, Contemporary Debates in the Ethics of Artificial Intelligence offers a timely and rigorous examination of the field's most pressing questions. Equally useful in the classroom or as a reference for interdisciplinary research, this volume fosters informed and critical engagement with the ethical dimensions of artificial intelligence in today's world. Curated by renowned scholars Sven Nyholm, Atoosa Kasirzadeh, and John Zerilli, Contemporary Debates in the Ethics of Artificial Intelligence brings together a dynamic mix of established leaders and emerging voices from both philosophy and computer science. The result is a uniquely structured collection of debates that not only introduces key concepts--such as agency, moral status, and value alignment--but also challenges readers to engage deeply with controversies around bias, transparency, and the societal risks posed by AI technologies. Providing frameworks for engaging responsibly with current and future AI technologies, Contemporary Debates in the Ethics of Artificial Intelligence: <ul> <li>Presents a dual-perspective debate format that fosters critical thinking and comparative analysis</li> <li>Includes both foundational conceptual discussions and cutting-edge applied ethical issues</li> <li>Features original contributions from interdisciplinary experts in philosophy, law, cognitive science, and computer science</li> <li>Addresses timely topics such as algorithmic bias, opacity, value alignment, and the moral status of AI</li> <li>Explores forward-looking concerns, including the future of AI governance and long-term existential risks</li> </ul> Contemporary Debates in the Ethics of Artificial Intelligence is ideal for undergraduate, advanced undergraduate, and graduate-level courses in philosophy, computer science, public policy, and related disciplines. It is well-suited for courses such as Ethics of Artificial Intelligence, Technology and Society, and Digital Ethics in philosophy, computer science, political science, international relations, and data science programs.

Contemporary Debates in the Ethics of Artificial Intelligence

Essentials

Dieses 
 essential
 zeigt, wie aus Sicherheits- und Risikomanagement ein gemeinsames Steuerungssystem entsteht, welches Doppelaufwände senkt, Prioritäten klärt und den Wiederanlauf nach Störungen beschleunigt. Der integrierte Risk-to-Resilience-Ansatz vereint Governance, gemeinsame Bewertungsregeln, wirksame Maßnahmensteuerung sowie Normbezüge zu ISO 31000, ISO 27001, ISO 22301, NIS 2 und RKE.
 Der Inhalt<ul><li>Herausforderungen, Silos und Konfliktfelder im Sicherheits- und Risikoumfeld</li><li>Big Picture und Prozess Risk-to-Resilience</li><li>Governance, Rollenmodell und gemeinsame Sprache</li><li>Risikokriterien, Skalen und Task Management</li><li>Incident, Notfall, Krise sowie Business Continuity Management (BCM)</li><li>Resilienzprinzipien und Umsetzung</li></ul>Die Zielgruppen<ul><li>Verantwortliche für Sicherheit, Risiko, BCM, Resilienz, Compliance sowie Cyber und Informationssicherheit</li><li>Interessierte, die sich in diesen Bereichen gezielt weiterbilden möchten</li></ul>Der AutorManuel Lechner
 verbindet Ausbildung mit Praxis aus Beratung und Konzernumfeld. Er entwickelt integrierte Sicherheits-, Risiko- und Resilienzkonzepte, verbindet Cyber und Informationssicherheit mit physischer Sicherheit und Governance, führt Risk Assessments durch und leitet daraus technische, organisatorische und personelle Maßnahmen ab. Er studierte Integriertes Sicherheitsmanagement an der FH Campus Wien und Information Security Management an der FH Hagenberg. Mit Cyber Risk Instructor ML e.U. vermittelt er Grundlagenwissen in Online-Schulungen.
 &nbsp;

Dieses 
 essential
 zeigt, wie aus Sicherheits- und Risikomanagement ein gemeinsames Steuerungssystem entsteht, welches Doppelaufwände senkt, Prioritäten klärt und den Wiederanlauf nach Störungen beschleunigt. Der integrierte Risk-to-Resilience-Ansatz vereint Governance, gemeinsame Bewertungsregeln, wirksame Maßnahmensteuerung sowie Normbezüge zu ISO 31000, ISO 27001, ISO 22301, NIS 2 und RKE.

Vom Risiko zur Resilienz mit einem integrierten Ansatz

Integriertes Sicherheits- und Risikomanagement

Your comprehensive, easy-to-understand guide on AI's impact in business and life Coexisting with AI: Work, Love, and Play in a Changing World&nbsp;is an exploration of how AI can be used at each stage of our lives. It helps readers understand the positive impact of AI and where governance is needed from both an individual and business perspective. From childhood through to aging, this book delivers a holistic understanding of this exciting new technology in language that anyone can understand regardless of technical expertise. Written by Kay Firth-Butterfield, former inaugural Head of AI at the World Economic Forum and one of the most foremost experts in the world on the governance of AI, topics explored in this book include: -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; An explanation of AI and Chatbots and their dependence on data -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; How to use AI wisely in business, with your children and in your life -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; How AI might be used in politics and war -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The good, bad, and ugly of AI now and into the future -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; AI's potential to solve some of humanity's biggest problems, from human trafficking to disease -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Essential governance considerations to make AI a beneficial technological development for all Coexisting With AI&nbsp;earns a well-deserved spot on the bookshelves of all individuals, from tech executives to curious citizens, seeking expert insight on where AI can take us and how to plot the best path forward for your family and business.

Work, Love, and Play in a Changing World

Coexisting with AI

Trust is the missing skill of the AI era. This book shows you how to build it. AI systems already advise our doctors, tutor our children, and drive our cars. They sound confident while being wrong, intimate without being responsible, and authoritative without being accountable. Our instincts for deciding whom to trust are no match for machines that fake understanding at scale. The question is not whether AI will reshape society. It is whether humans will remain in the driver's seat when it does. In The Trust Code, Tiffany Xingyu Wang-a World Economic Forum Young Global Leader, USPTO patent holder, and digital safety pioneer who helped build AI systems protecting over a billion users-delivers the first comprehensive framework for practicing trust as a discipline in the age of AI. Trust is not a feeling. It is a decision. And it is the most consequential one you will make. Through three movements-rethink trust, decode AI, reclaim your agency-you will learn: <ul> <li>A new language for trust-where it comes from, what it rests on, and why your instincts can mislead you-so you create common ground when everyone talks past each other</li> <li>The hidden pattern behind major technological leaps from the printing press to autonomous vehicles, and why AI is the first to break it</li> <li>The forces driving AI forward-curiosity, greed, and fear-and how to separate earned trust from demanded trust so you see clearly instead of react blindly</li> <li>Thousands of AI risks distilled into three categories you can act on-mirrors, weapons, and ghosts-freeing you to decide what to mitigate, constrain, or refuse</li> <li>With clear sight and firm boundaries, what AI makes possible as it transforms how we create, heal, and power the world, and how we can stay at the center of that promise</li> <li>C.A.L.I.B.R.A.T.E.-a nine-step practice that turns trust from a feeling you have into a judgment you make, from the boardroom to your child's screen time</li> </ul> The Trust Code is essential reading for leaders, technologists, parents, and anyone who refuses to let algorithms decide what deserves their trust. The question is no longer whether to trust AI. It is how to trust wisely.

How to Unlock AI's Promise Without Losing Humanity

The Trust Code

'A Legal Study on AI Inventorship Under Patent Law in Germany and the United States': This thesis asks a provocative question: Can AI be an inventor? The answer is: Yes. By applying the '2/7 Questions Process' from German and US patent law, it compares inventorship rules and evaluates the roles of humans and AI. Legal theories, historical precedents, and philosophical reflections together show that recognizing AI inventorship is both legally plausible and conceptually justified.

A Legal Study on AI Inventorship Under Patent Law in Germany and the United States

Governing the AI Machine

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