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Philosophy and Religion (R0)

Bernhard Koch

David Winkler

Artificial Intelligence Ethics in Military Medicine and Humanitarian Healthcare

&lt;p&gt;Chapter 1. Introduction.- PArt 1- The first part of the book serves as an introduction on what is AI and how is it currently regulated.- Chapter 2. Examining Trends in AI Ethics via Quantitative Discourse Analysis.- Chapter 3. Recent Trends in AI Law and Ethics and Their Implications for Military and Humanitarian Healthcare.- Part 2- In a second part, the present volume addresses examples of AI usage in the military environment and assesses the philosophical and ethical challenges.-Chapter 4. Given The Use of AI, Can There Still Be Good Military Medical Service or Only Bad One?.- Chapter 5. Ethical Analysis of Emerging Health-Monitoring Technologies in Military Settings.- Chapter 6. Ethical, Legal, and Societal Implications of the DARPA In The Moment Program.- Chapter 7. A New Age of Dual-Use Technologies: Identifying and Evaluating AI-Induced Risks and Opportunities in Military Medical Ethics.- Chapter 8. Meaningful Human Control over AI Military Decision Support Systems.- Chapter 9. Respecting Autonomy in AI-supported Military Medicine Decision-Making.- Chapter 10. Integration, epistemic responsibility, and seamlessness.- Part 3- A third section of the volume is focusing on ethics of AI and Big Data in Humanitarian contexts.- Chapter 11. Humanitarian healthcare, digital infrastructure, and AI: an ethics talk diagnostic.- Chapter 12. Navigating risks in data collection on attacks against healthcare: new technologies and ethical considerations stemming from the Insecurity Insight&amp;rsquo;s practical experience.- Chapter 13. Ethical Capacities and Organizational Infrastructure: Navigating Opportunities and Challenges of Artificial Intelligence in Humanitarian Project Closure.&lt;/p&gt;

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Turn enterprise AI into a source of strategic insight, not just productivity gains.The AI Gap by leading AI expert and keynote speaker Richard Foster-Fletcher shows business and technology leaders how to unlock greater value from enterprise AI by changing the structures, processes and culture surrounding it. Organizations invest in AI expecting new intelligence and transformative insights. Yet AI is often introduced through procurement, security, legal and compliance systems designed for standard software, restricting its potential before it can deliver on that promise. This book explains why this gap persists and what organizations must change to close it. You'll learn how to: - Identify organizational barriers limiting the value of AI - Move beyond productivity-focused AI implementation - Create conditions where AI can generate deeper insights - Enable employees to explore, experiment and challenge established thinking &gt;The AI Gap equips leaders to rethink AI implementation, create space for experimentation and turn artificial intelligence into a powerful driver of organizational insight and long-term business value. Themes include: enterprise AI, AI implementation, AI strategy, business transformation, organizational culture, AI innovation

How Business Decisions Expand What AI Can Do

The AI Gap

International Series in Operations Research & Management Science

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.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.

Valid Causal Inference from Observational Data

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

**This edition will be released in March 2027. If you want to get a copy ahead of then, have a look at our hardback edition, released in May 2026.** 'If you're worried about wasting your life, read this book.' Rutger Bregman, author of Humankind A ridiculously in-depth guide to finding a fulfilling and impactful career in an age of AI. You have about 80,000 hours in your career: 40 hours a week, 50 weeks a year, for 40 years. This means your choice of career is the most important decision you'll ever make. Choose well, and you can have a more rewarding, interesting life, and also help solve some of the world's most pressing problems. Choose poorly, and you could waste decades. So what should you do? Most advice is based on no research, instead offering (misleading) platitudes like 'follow your passion'. It's surprisingly out of date, focusing on traditional paths rather than those most likely to thrive in an age of AI. And if you want to help others, the advice is even more simplistic: telling you to choose careers like nurse or doctor, when there are paths in which almost anyone can save more lives. In fact, some careers have hundreds of times more impact than others, but most of us have no idea which ones. Benjamin Todd is the founder of 80,000 Hours, a non-profit that's spent over ten years researching how to have a meaningful and impactful career. Here he introduces a tried-and-tested toolkit framework that has already led thousands of people to change their path. It covers:<ul><li>What really makes for a dream job, and why finding it probably doesn't involve 'following your passion'.</li><li>How to identify which global problems are most pressing, and why they might involve AI as much as climate change.</li><li>Which roles are likely to be automated, and how to ensure yours isn't among them.</li></ul> It's also full of practical tips and tools. You'll come away with a plan to use your 80,000 hours in a way that's rewarding and fulfils your potential to make a difference. 'This career guide is among the most thoughtful and grounded I've seen.' Cal Newport, author of Deep Work 'A remarkably rigorous guide about how to find that perfect career for you.' Ali Abdaal, author of Feel-Good Productivity 'Based on evidence and good sense, not platitudes.' Steven Pinker, author of The Better Angels of our Nature 'The most informative book you can read if you're stuck trying to make one of life's most important decisions.' Hannah Ritchie, author of Not the End of the World

How to Have a Fulfilling Career That Does Good

80,000 Hours

Contemporary Issues in Air Transport

Transforming Air Cargo: Innovations, Challenges, and Sustainable Solutions in a Dynamic Market examines the rapidly evolving air cargo industry, addressing the critical factors shaping its future. Sections delve into the impacts of e-commerce growth, technological advancements, the COVID-19 pandemic, and global supply chain restructuring. Topics covered include commercial and regulatory contexts such as air cargo demand forecasting and revenue management, resiliency and sustainability, air cargo flow networks, economic development, strategies for reducing CO2 emissions, including the adoption of sustainable aviation fuel (SAF), and emerging strategies such as innovative approaches of air cargo carriers and key players like Amazon Prime Air. Final sections investigate technological innovations, including advanced air mobility and digital transformation within the industry. This book is an invaluable tool for industry professionals, including air cargo operators, logistics managers, and supply chain experts, as well as academics and students in logistics, transportation, and business management. Readers will gain critical insights into market trends and challenges, empowering them to make informed strategic decisions.

Innovations, Challenges, and Sustainable Solutions in a Dynamic Market

Transforming Air Cargo

<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> </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> </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>
</div>

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Digital Transformation and Innovation

This book explores how Generative Artificial Intelligence is reshaping creativity, innovation, and human–AI collaboration across art, design, business, and education. Taking an interdisciplinary and practice-oriented approach, the book offers conceptual frameworks and practical insights to support the active shaping of creative processes in the context of digital transformation. The book brings together international contributions from artistic practice, critical and philosophical inquiry, design and innovation research, entrepreneurial ecosystems, and future-oriented education. Structured around three thematic sections, creative practices and critical perspectives; human–AI collaboration in design and innovation; and education and future skills, the volume develops a coherent narrative on how AI transforms not only creative outputs, but also processes, roles, and ways of thinking.A distinctive feature of the book is its integration of reflective and artistic perspectives with empirical studies and real-world applications. It traces historical developments of AI in creative domains, challenges dominant narratives of generative AI, and introduces novel approaches to co-creation and human–machine partnerships. At the same time, it addresses applied contexts such as storytelling in entrepreneurial ecosystems, AI-supported design, and practical experiments in collaborative creativity. Overall, the book provides guidance for developing human-centred, responsible, and sustainable approaches to creativity in an age of co-creative intelligence.

Artificial Intelligence Ethics in Military Medicine and Humanitarian Healthcare

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