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Ajla Besirevic

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

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

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

The MIT Press Essential Knowledge series

What lies underneath digital platforms—their invisible architecture and governance that determine everything visible. Every time you unlock your phone, stream a show, or start your car, you’re entering a world shaped by thousands of engineering decisions you’ll never see. Most platform conversations fixate on their visible canopy—business models, user experience, competitive strategy—the “leaves,” in a sense. Platforms by Amrit Tiwana excavates their roots. The book begins with a simple DNA test that separates authentic from faux platforms, then traces the forces turning tractors, pacemakers, and elevators into platforms. Using the platform trinity, the author explores principles behind why platforms behave so differently, why superior technology doesn’t always win, and why—unlike products that reach a final form—platforms never stop evolving. From there the book explains platforms’ two hidden root systems: The first system, architecture, shows how Lego-like “modular” design, frozen interfaces, and prefab building blocks let thousands of outsiders contribute pieces that snap into colossal systems. The second system, governance, describes where architecture confronts human behavior. Elegant architecture flails with poor governance, so both demand discipline.

Platforms

How AI is transforming consulting and professional services, plus a new model for the future.Artificial intelligence has disrupted the world of expertise. Work that once required teams of highly trained professionals--research, analysis, modeling, and drafting--can now be completed in seconds. For consulting firms, law firms, accounting practices, and other professional-service organizations, the implications are profound. The very activities that have long generated revenue, developed talent, and sustained competitive advantage are rapidly being transformed. How do firms built on human expertise create value in a world where machines can now think alongside us?In The Future of Expertise, innovation expert David Duncan offers a compelling answer. Drawing on more than two decades of experience at McKinsey, at Clayton Christensen's advisory firm, and on the front lines of AI-enabled consulting, Duncan argues that the basic structure of professional-service firms must be reinvented. He introduces a new model for the AI era: a leaner, more agile "obelisk" structure that replaces the traditional professional-services pyramid with smaller, highly skilled teams augmented by AI.Through real-world examples from consulting, law, accounting, and corporate strategy, Duncan shows how AI is reshaping everything from client expectations to firm economics and profitability to talent development and leadership. He examines why the apprenticeship model that was used to train generations of professionals is breaking down, how firms can rethink careers and capability building, and what new forms of value clients will demand as routine expertise becomes automated.Provocative and deeply insightful yet practical, The Future of Expertise is an essential guide for leaders navigating the next era of knowledge work.

AI and the Reinvention of Professional Services

The Future of Expertise

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

Intellectual Property Law in Ireland

**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

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Design AI-powered learning experiences that drive engagement, performance and measurable business impact. Learning Experience Design by Donald Clark is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems. Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability. You will learn how to: -Design AI-enabled learning experiences that adapt to learner needs - Use data, context and performance signals to personalize learning - Integrate simulations, games and workflow learning effectively - Employ ethical AI use and support sustainable skills development - Lead AI learning projects and embed learning into daily work This book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization. Themes include: learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support

How to Build Effective Learning in the Age of AI

Learning Experience Design

'An excellent look at what Palantir does, as well as a fascinating insight into the mind of its eccentric chief executive' TelegraphPalantir Technologies is the most interesting company in the world -&nbsp;and the most controversial.&nbsp;Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends and connections that might elude the human eye. Founded in 2003 to help the U.S. government in the war on terrorism - an early investor was the CIA - Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the U.S. military, the National Health Service in England, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to healthcare to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century.&nbsp;Its billionaire CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he's a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir's work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp's close friend and Palantir co-founder Peter Thiel.&nbsp;In The Philosopher in the Valley, journalist Michael Steinberger is the first to tell the story of Alex Karp and Palantir from the beginning. Steinberger offers new biographical details and a rich psychological portrait of the man leading one of the world's most secretive companies. Full of revelations, this is an urgent and insightful book about technological power, the surveillance state and the future we all face.

Alex Karp, Palantir and the Rise of the Surveillance State

The Philosopher in the Valley

Wiley Finance

The handbook to unleash the power of AI in Finance with guidance to pragmatically managing AI Risk Are you ready to harness the transformative potential of artificial intelligence and machine learning in finance while effectively managing the associated risks? "AI and Risk Management in Finance: A Practitioner's Handbook" by Sri Krishnamurthy, CFA, is your indispensable guide. Tailored for financial professionals, this comprehensive handbook delivers practical insights, case studies, and frameworks to navigate the complex landscape of AI and ML in the financial sector. This pragmatic handbook, developed primarily for professionals involved in designing, developing, and deploying AI models in the financial industry explores cutting-edge technologies, regulatory landscapes, and pragmatic frameworks. From generative AI to robust risk management strategies, this handbook equips you with the tools you need to validate models, ensure compliance, and operationalize AI risk management effectively. Leveraging lessons from QuantUniversity's AI and Machine Learning Risk Management program offered in 18 countries, this book focuses on enabling practitioners apply the state-of-the-art AI and machine learning techniques factoring unique risks specific to the financial services domain. Whether you're a seasoned professional or a newcomer, this book offers invaluable insights for harnessing the power of AI responsibly in the financial industry. Highlights of the Book: <ul> <li>Machine Learning and AI in Financial Services: Dive into the fundamentals of ML and AI, exploring various applications within the financial industry through real-world case studies.</li> <li>Generative AI and LLMs in Finance: Understand the emerging landscape, key players, and advanced concepts like prompt engineering and fine-tuning with practical examples.</li> <li>Risk Management for AI/ML Applications: Learn about current and emerging regulatory landscapes, AI risk management frameworks, and legislative efforts shaping the field.</li> <li>Data Governance Issues: Address critical aspects of data quality, privacy, security, and governance, with actionable frameworks and illustrative case studies.</li> <li>Model and System Governance: Gain insights into validating machine learning models, quantifying model risk, and ensuring robust system governance with MLOps and model monitoring.</li> <li>Key Risk Assessment Facets: Focus on documentation, explainability, fairness, security, and reliability with detailed case studies.</li> <li>Verification and Validation: Distinguish between verification and validation and learn frameworks for effective AI application validation.</li> <li>Algorithmic Auditing: Conduct comprehensive algorithmic audits with detailed processes and real-world examples.</li> <li>Operationalizing AI Risk Management: Discover ten essential strategies for implementing AI risk management practices effectively in your organization.</li> </ul> Prepare for the future of finance with expert advice and actionable strategies. Don't miss out on this comprehensive guide-your roadmap to navigating AI and risk management in the financial sector.

A Practitioner�s Guide to Machine Learning, Generative AI, Agentic Systems, and Responsible Deployment

AI and Risk Management in Finance

This is the updated and expanded edition of the only radical, multidisciplinary, international introduction to intellectual property in its socio-economic contexts. Bringing together voices from law, sociology, economics, political science, and cultural studies from across the Global North and Global South, experts and activists Mat Callahan and Jim Rogers offer a detailed history and analysis of IP before asking critical questions designed to underscore its importance in the broader struggle between capital and the commons. What are the broader implications of IP, whether for agribusiness, pharmaceuticals, education, or entertainment? Is IP law a fundamental pillar of our culture, or has it been used to protect and assert the ownership of, and thus limit, the spread of ideas and creativity? With a chapter structure moving from historical and theoretical foundations to industry-specific conflicts and policy analysis, this book covers the breadth and depth of IP areas, including patents, copyrights, trademarks, and trade secrets, as well as emerging issues such as digital rights and biotechnology. Key features include: - voluminous, up-to-date case studies, both Western and non-Western; - an extensive, jargon-busting list of abbreviations of specialized or technical terms; - a new chapter on copyright and socialism; - revisions and updates accounting for the seismic impacts of artificial intelligence. This is a foundational must-read for all researchers, students, and activists interested in critical analyses of IP laws and policies--not just their legal frameworks, but also their broader social, economic, and political implications.

A Radical Guide to the Past, Present, and Future of the Ownership of Ideas

Rethinking Intellectual Property

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

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