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Nithin Palal: AI-Proof

AI-Proof

What Machines Will Never Be

Artificial Intelligence and the Rule of Law

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.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.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.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.

Healthcare, Sustainability, Innovation and Emerging Technologies

AI Regulation in Industry 5.0

Research in Creative Writing

Writing Human in the Age of AI

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Da es DIE Wirtschaftspsychologie noch nicht gibt bzw. nur Teilbereiche sehr intensiv, aber aussschließlich aus der Rationalitätsperspektive abgedeckt werden, verfolgt der Autor einen sehr interdisziplinären Ansatz, um den Erkenntnishorizont der BWL zu erweitern. Das Lehrbuch ermöglicht die Sensibilität und das Verstehen in die sozialpsychologischen Phänomene eines Wirtschaftsbetriebs. Auch neue Verbindungen werden systematisch erfasst (Psychoanalyse und BWL, Hirnforschung und BWL, Energie und BWL). Jedes Kapitel enthält praktische Beispiele, Fragestellungen, Aufgaben und Literaturempfehlungen.

BWL und VWL aus sozialpsychologischer Sicht

Grundlagen der Wirtschaftspsychologie

Leading with clarity, character and quiet impact

Becoming More

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;
 
 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.

Artificial Security and the Politics of Hype in the EU

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

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.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.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.

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

Eine lernorientierte Einführung in die Grundzüge der mikroökonomischen Theorie, bei der drei Fragen im Zentrum des Interesses stehen: Mit welcher Güternachfrage maximiert ein privater Haushalt für ein gegebenes Einkommen und gegebene Preise seinen Nutzen? Mit welchem Güterangebot maximiert ein privates Unternehmen für gegebene Güter- und Faktorpreise seinen Gewinn? Wie bildet sich aus Angebot und Nachfrage der Marktpreis? In den Text integrierte Übungsaufgaben erleichtern eine gezielte Prüfungsvorbeitung.

Haushalte, Unternehmen, Märkte

Mikroökonomik

AI-Proof

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