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Gesamtkatalog

Catalogue complet

Incentives and Benefits for Adopting
Green Entrepreneurship Practices

Incentives and Benefits for Adopting Green Entrepreneurship Practices

Automating Government: How AI Will Revolutionise Public Services is a timely and authoritative guide for political leaders, senior managers, and public officials confronting the challenges and opportunities of artificial intelligence. Through dozens of global case studies and clear analysis, it explores how AI can transform public services, such as predictive healthcare, automated social services, and real-time transport systems, leading to improved outcomes and lower costs.While the potential is considerable, the implications are far from straightforward. The book addresses the following critical questions: What will happen to jobs? Can we trust machines to make decisions about people's lives? Will AI reduce inequality or entrench it further?Rich in practical insight and grounded in real-world examples, Automating Government sets out a roadmap for responsible, effective AI adoption in the public sector. It challenges readers to see AI not simply as a tool for efficiency but as a means to build a more capable, inclusive and accountable state fit for the demands of the twenty-first century.

How AI Will Revolutionise Public Services

Automating Government

Current Issues in Cyberpsychology

Impacts of Technology on Cyber Behaviors and Personality Traits

Digital Identities, AI Ethics, and Mental Health

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Transforming Organizations in the Digital Age

Artificial Intelligence and Sustainable Management

This book introduces the subject of artificial intelligence (AI), its structures, uses, application to the artificial neural network, technology applications, and the advantages and disadvantages of its use, including its potential weaknesses and drawbacks. AI, in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs. AI technology is widely used throughout industry, government, and science.Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by platforms such as YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT, Apple Intelligence, and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI. It would appear that much of specific AI has filtered into general applications, often without being called AI because once something becomes useful and common enough, it is no longer labelled as AI.The growing use of AI in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic and commercial sectors and areas of everyday life. Its impact is felt across job markets, healthcare, government, industry, education, propaganda, and disinformation and deception, whether deliberate or otherwise. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.

Advantages, Disadvantages, Benefits, and Threats

Artificial Intelligence

A New York Times and Sunday Times Bestseller Winner of the National Book Critics Circle Award 2025 Longlisted for the 2025 Financial Times &amp; Schroders Business Book of the Year Shortlisted for Foyles Non Fiction Book of the Year 2025 An eye-opening account of the tech arms race shaping out planet, from an award-winning journalist and AI insider to the world of Sam Altman and OpenAI When longtime AI expert and journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, it was meant, its leader Sam Altman told us, to act as a check against more purely market forces. But the core truth of this massively disruptive sector is that it requires an unprecedented amount of proprietary resources: the 'compute' power of scarce high-end chips, the sheer volume of data that needs to be amassed at scale, the humans on the ground 'cleaning it up' for sweatshop wages throughout the Global South, and a truly alarming spike in the need for energy and water underlying everything. We have entered a new, ominous age of empire with OpenAI setting a breakneck pace, as a small group of the most valuable companies in human history try to chase it down. In exhilarating prose and with unparalleled access to those closest to Sam Altman, Hao recounts the meteoric rise of OpenAI and shows us the sinister impact that this industry is having on society.

Inside the reckless race for total domination

Empire of AI

What is the role of the library in an increasingly complex information environment filled with and redesigned for artificial intelligence? Hope in the Library presents a compelling case for the continued relevance of libraries in an age increasingly shaped by artificial intelligence. Michael J. Paulus, Jr., shows how libraries, as human-centered and human-scaled institutions, have enduring roles as archives for reflection and understanding, sites of imagination and hope, and catalysts for human agency. This book argues that, by providing an essential counterbalance to impersonal and automated systems, libraries are essential for not only surviving but thriving in our emerging information environment. Hope in the Library is structured as a series of essays organized by explorations of the library in the past, in imagined futures, and in our digitally-enhanced present. Firsthand narrative and archaeological history are interspersed with literary meditations from writers including Mary Shelley, Ursula K. Le Guin, and Jorge Luis Borges. The book can be read a few different ways: from beginning to end; following topical pathways suggested in the final section; or in any other order chosen by the reader. Each essay and section, like a book or section of a library, may be read independently. Informed by over two decades of leading and studying libraries, these essays include the author's professional as well as personal reflections and encourage a more radical reframing of how AI may be integrated into libraries and society to help create a better future.

How Libraries Can Help Shape Our Future with Artificial Intelligence

Hope in the Library

Learn more and discover downloadable resources at aiprecipice.com! This book fills a significant gap by providing a leadership guide to balance innovation and safety. With the rapid business transformation underway to leverage artificial intelligence (AI), executives must allocate substantial investments in governance, corporate purpose, and risk management tailored to their organization's strategic goals.The stakes are high, and very few organizations are generating positive returns on their investments.As a result, leaders must reevaluate their strategies, focusing on maximizing benefits while curtailing unnecessary costs. This book emphasizes the importance of carefully integrating humans into AI processes and introduces a robust leadership framework that prioritizes innovation without compromising safety. Diverse industry examples offer rich insights into pathways for striking a balance between advancing AI capabilities and mitigating potential risks.This book equips leaders with the tools to navigate the complexities of AI responsibly. It sheds light on often¿overlooked topics in major AI literature, including in¿depth discussions on strategic scenarios, risks and controls, legal frameworks, and effective measurement systems.Offering a wealth of strategic and operational insights from credible sources, this authoritative resource is indispensable for senior executives aiming to design, develop, and implement successful AI initiatives within their organizations.

An Executive Guide to Balancing AI Innovation and Safety

The AI Precipice

The companies that win with AI won't be the ones that adopt it. They'll be the ones that rebuild around it.
Your old growth playbook is breaking down. AI is collapsing moats, compressing product cycles, and reshaping how customers buy. Meanwhile, your teams are still executing strategies built for a slower, more stable world. Market-Led Growth shows you how to rebuild-fast.
This is not a book of tactics. It's a blueprint for transforming how your company senses shifts in demand, adapts GTM in real time, and scales with the market-not against it. You'll learn how to decentralize decision-making, embed AI into execution, and move capital, people, and priorities at the speed of market signal. If you're serious about building a company that thrives in the AI era-not just survives it-this is your operating manual.

A new operating system for business in the age of AI

Market-Led Growth

What separates brands that lead their category from those still chasing it? Velocity - directional momentum built through community, AI and strategic speed. Velocity Marketing provides mid to senior marketing professionals with a comprehensive implementation system for building brands that compound. This practitioner's field manual bridges three decades of traditional brand-building principles with the systems, behaviours and community dynamics building the most valuable brands of the next decade. It translates complex emerging technology - AI, community mechanics, decentralised ownership - into immediately actionable marketing strategy. Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralised Brand Scorecard, every chapter delivers strategic depth alongside practical 'Monday Morning Moves' that teams can implement within days. Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organisations, this book demonstrates how forward-thinking brands are building compounding momentum through community collaboration, AI-enhanced operations and velocity-driven learning systems. Whether you lead marketing at a Fortune 500 enterprise or a growth-stage mid-market organisation, Velocity Marketing is the definitive implementation guide for building brands that never stop earning their place.

B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

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

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Reflections of a Cognitive Architect

On Minds

Incentives and Benefits for Adopting Green Entrepreneurship Practices

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