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Incentives and Benefits for Adopting
Green Entrepreneurship Practices

Incentives and Benefits for Adopting Green Entrepreneurship Practices

Taylor and Francis Proceedings in Computer Science and Engineering

Reimagining Tomorrow: AI and Sustainable Imperative presents a curated collection of high-quality research contributions that explore the transformative role of Artificial Intelligence in addressing pressing sustainability challenges across a variety of sectors.This book highlights how advanced AI techniques-ranging from machine learning and deep learning to intelligent optimization-are being leveraged to enhance efficiency, reduce environmental impact, and support data-driven decision-making. The volume emphasises the growing importance of integrating technological innovation with sustainability goals to create resilient and future-ready systems. The primary focus of this book is on human-centred Artificial Intelligence, with particular attention given to its ethical, societal, and governance dimensions. It examines critical issues such as transparency, fairness, accountability, and privacy, while also showcasing AI-driven solutions for sustainable development in key domains, including healthcare, education, smart infrastructure, and Industry 5.0. The contributions further address interdisciplinary approaches, combining AI with emerging paradigms such as edge computing, IoT, and green technologies to enable scalable and responsible innovation.The book provides valuable insights for researchers, academicians, industry practitioners, policymakers, and students by offering a comprehensive perspective on both theoretical advancements and practical implementations of AI for sustainability and serves as a reference for understanding current trends, identifying research gaps, and exploring future directions in the design of intelligent, ethical, and sustainable systems.

AI and Sustainable Imperative

Reimagining Tomorrow

Computers, Privacy and Data Protection

Who decides how data and AI are governed, and whose rights prevail?This open access book brings together contributions from the CPDP conference in Brussels, Europe's leading forum on privacy and data protection. Ten years after the GDPR, digital governance stands at a crossroads. The EU has layered the DSA, DMA, Data Act and AI Act onto its data protection regime, while calls for simplification grow louder and governments from Brazil and Mexico to Canada and Southeast Asia pursue their own regulatory visions. The book examines algorithmic oversight and automated decision-making in the UK, AI and directors' duties in Canadian corporate law, data governance for connected vehicles in the EU, GDPR-inspired access rights across Japan and Southeast Asia, the Brussels Effect in Brazil and Mexico, location-data provenance and digital trust infrastructures, and the inequalities produced by biometric and health data infrastructures in Europe and India.The chapters show that governance failures rarely stem from a shortage of rules. They arise when regulatory visions, technical architectures and institutions pull in different directions. Read together, they make the case for treating disagreement not as an obstacle but as a democratic resource.With its blend of doctrinal analysis, critical theory and socio-technical insight, this book is for academics, policymakers, practitioners, DPOs and students working on data protection, AI regulation and digital society.The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

Competing Visions, Shared Futures

Data Protection, Privacy and Artificial Intelligence, Volume 19

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.

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

A step-by-step guide to AI-native analytics systems for BI practitioners Building Business Intelligence Apps with AI provides a step-by-step guide for data analysts, data engineers, and BI developers who need to integrate AI into their analytics workflows. Written by Ryan Dolley, a data industry veteran with fifteen years of experience across BI development, consulting, and data vendor roles, this book shows how to partner with AI to deliver better data models, dashboards, and business queries while building AI-native experiences for end users. The book addresses data foundations, outsourcing repetitive tasks to AI, and scaling autonomous analytics systems that maintain accuracy and data governance. Readers learn practical steps for increasing individual and team effectiveness using AI while avoiding common pitfalls such as hallucination, data inaccuracy, and user abandonment. It delivers operating models that data departments need, covering everything from data blending and dashboard creation to personalization and responsiveness. Readers will also find: <ul> <li>Practical techniques for partnering with LLMs to accelerate data modeling, querying, and dashboard development across BI workflows</li> <li>Strategies to outsource repetitive analytics tasks to AI while maintaining rigorous data governance and accuracy standards</li> <li>Operating models for individuals and data departments to scale AI-native analytics systems that end users adopt</li> <li>Methods for building autonomous, personalized analytics experiences that address user expectations for speed and responsiveness</li> <li>Guidance on avoiding AI pitfalls including hallucination, data inaccuracy, and user abandonment in production analytics environments</li> </ul> Data analysts, data engineers, BI developers, and their managers will find in this book the specific skills and operating models needed to integrate AI into daily analytics work. It equips practitioners to build accurate, autonomous analytics systems while strengthening data governance and accelerating delivery across their teams.

Building Business Intelligence Apps with AI

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 is a guide to UK payments law, examining how English law and financial regulation are adapting to new forms of money and new ways of moving it. Value now passes between banks, payment service providers and distributed ledgers, and AI agents are beginning to initiate payments. For lawyers and compliance professionals, this raises fundamental questions about when a debt is discharged, who bears the loss when a payment goes wrong, and which activities fall within the regulatory perimeter.This title sets out the legal concepts of payment and money before mapping the regulatory perimeter under the Financial Services and Markets Act 2000, the Regulated Activities Order 2001, the Payment Services Regulations 2017 and the Electronic Money Regulations 2011. Later chapters provide clarity on funds transfers and settlement, card payments, open banking and payment initiation, digital wallets, strong customer authentication, unauthorised transactions and the recovery of misdirected payments, including authorised push payment (APP) fraud. Coverage of tokenised payment includes the classification of cryptoassets and their status as property. The new UK regimes for stablecoins and tokenised deposits are considered alongside the proposed digital pound. The final chapters address the protection of customer funds when a payment or e-money institution becomes insolvent. They also examine the legal questions raised by agentic payments, in which an AI agent makes payments on a user's behalf.Drawing upon legislation, FCA rules and guidance, case law and current reform proposals, the book is designed to help practitioners, in-house counsel, regulators, payment firms and academics understand and apply the law of digital payments.This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

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

The Fight for the Future of Work

We Are Not Machines

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

The first analysis of how AI, robotics, and genetic engineering converge to reshape civilization Most analyses of technological disruption examine AI, robotics, or genetic engineering in isolation. A Perfect World: The Unintended Consequences of the AI, Robotics and Biotech Revolution is the first work to analyze their inevitable convergence and the societal consequences it creates. William Nobrega, a Deloitte alumnus and Army Special Forces veteran who advises Fortune 500 companies on disruption strategies, introduces what he calls the "holy trinity of disruption." Drawing on extensive research, expert interviews, and historical analysis spanning 50,000 years of human development, A Perfect World examines where these three technologies stand today and where expert consensus places them in fifteen years. Nobrega applies basic economic principles to reveal how their interaction effects will create impacts far exceeding what each technology produces independently, potentially yielding a bifurcated world. Readers will also find: <ul> <li>A framework for understanding how AI, robotics, and genetic engineering convergence will reshape industries and global labor markets</li> <li>Analysis of how genetic engineering may enable designed physical characteristics, disease elimination, and IQ augmentation within the coming decades</li> <li>Exploration of both utopian and dystopian outcomes grounded in military, corporate consulting, and academic research perspectives</li> <li>Historical parallels including examination of modern connections to Orwell's 1984 and the origins of human communication</li> <li>Analytical tools for business leaders and policymakers navigating what robotic labor replacement means for low-skilled workforces globally</li> </ul> Written for business leaders, policymakers, and informed citizens seeking to understand how the convergence of AI, robotics, and genetic engineering will transform their industries and society, A Perfect World provides the frameworks and analytical tools necessary to navigate the most consequential technological transformation in human history.

The Unintended Consequences of the AI, Robotics and Biotech Revolution

A Perfect World

**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

Incentives and Benefits for Adopting Green Entrepreneurship Practices

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