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Nithin Palal: AI-Proof

AI-Proof

What Machines Will Never Be

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

For more than a century, the United States has relied on the income tax to fund government and shape distributional policy. Designed to tax both labor and capital, the system has drifted from that ambition. The Income Tax Collapse offers a clear, accessible account of how this shift occurred.
At the center of the book is the set of techniques known as "buy, borrow, die", longstanding features of tax law that allow wealthy households to accumulate and spend capital income while reporting little or none of it. These practices now shape outcomes for entrepreneurs, business owners, workers, mixed work-wealth households, and the wealthiest citizens.
Looking ahead, the book identifies the structural pressures driving the system and presents realistic reform options, from adjustments to realization rules to broader shifts such as mark-to-market, wealth taxation, or progressive spending taxes.

Buy, Borrow, Die and Beyond

The Income Tax Collapse

Research in Creative Writing

Writing Human in the Age of AI

A ground-breaking framework that redefines price formation as the structural foundation of sustainability, The Price of Sustainability argues that 'true pricing' can restore long-term and inclusive economic viability. Through grounding in rigorous fieldwork, financial analysis, and the economic insights of Rudolf Steiner, this book exposes the reality behind today's pricing; that they are systematically falsified and don't reflect the reality of sustaining labour, nature and capital. To counter this, Andrillon introduces the concept of true pricing as a diagnostic framework, discerning when a price reflects viability, and when it conceals impending collapse. In the opening chapters, the author guides you through both the contemporary failure of sustainable development and the shortcomings of economic approaches to this issue. Transitioning from diagnosis to construction, Chapter 4 formalizes the concept of a "true price"; it argues that a price is only true if it enables the full reproduction of labour, nature, and capital across time. The following chapters present the operational core of this framework, illustrating how it can be used across sectors as a practical evaluative method. Bridging political economy, sustainability science, and economic theory while offering a highly original contribution to debates on degrowth, post-capitalism, and ecological transition, this innovative text is the perfect companion for undergraduate students, postgraduate students, scholars and policy-makers working at the intersection of sustainability, political economy, ecological economics, development studies, and accounting.

Rethinking Pricing for a Viable Economy

The Price of Sustainability

Modern leaders face intense pressure to move fast and look decisive, often resorting to rapid restructuring and sudden pivots to signal strength. But this obsession with speed is a trap. It forces executives to rely on past assumptions rather than actual observation, turning experience into hasty judgment. When you act on incomplete fragments - like anecdotal evidence or surface-level dashboards -&nbsp; you inadvertently trigger a cycle of temporary fixes, organizational fatigue and strategic drift. This concise book introduces a critical discipline for the modern era: pausing to see an organization clearly before attempting to change it. Moving beyond abstract theory, Clarity Before Change provides executives with practical tools-like the "Organization Twin"-to map capabilities without bias and replace organizational blame with productive curiosity. Far from preaching hesitation, this research-backed guide delivers a blueprint for precise, intelligent transformation, showing that the ultimate competitive advantage is strategic composure under complexity.

Why leaders must see clearly before they act

Clarity before Change

Business Statistics of the United States

Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance. It provides several years of annual, quarterly, and monthly data in industrial and demographic detail, including key indicators such as: gross domestic product, personal income, spending, saving, employment, unemployment, the capital stock, and more. Business Statistics of the United States is the best place to find historical perspectives on the U.S. economy. Of equal importance to the data are the introductory highlights, extensive notes, and figures for each chapter that help users to understand the data, use them appropriately, and, if desired, seek additional information from the source agencies. Business Statistics of the United States provides a rich and deep picture of the American economy and contains approximately 3,500 time series. The data are predominantly from federal government sources, including: ·Board of Governors of the Federal Reserve System ·Bureau of Economic Analysis ·Bureau of Labor Statistics ·Census Bureau ·Employment and Training Administration ·Energy Information Administration ·Federal Housing Finance Agency ·Department of the Treasury

Patterns of Economic Change

Business Statistics of the United States 2026

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

Artificial Intelligence and Blockchain in International Arbitration offers an exhaustive analysis of technology-assisted arbitration across the entire arbitral lifecycle by examining how blockchain and artificial intelligence are used in drafting and concluding arbitral agreements, in the constitution of the tribunal, in the overall procedural management of the case, on evidence and disclosure, on virtual hearings, and even on arbitral award drafting. It delves deeper into the limitations of automation, the non-delegable roles of arbitrators, and the compatibility of digital procedures with core arbitration principles such party autonomy, due process, equality of arms, secrecy, and impartiality. Additionally, it examines how new technologies interact with private international law, with the consent of the parties, the relevant legislation and how these technologies can be incorporated into arbitration without going against public policy, without violation due process rights and, in that way ensuring enforcement under the New York Convention.This book, by examining how blockchain and artificial intelligence are changing arbitral practice, provides a fresh and topical viewpoint on current debates in international arbitration and explores how these technological advancements are reshaping arbitration foundations while posing ethical challenges about the future of arbitration.

Artificial Intelligence and Blockchain in International Arbitration

Do you wish you could decode people? Do you want a formula for charisma? Do you want to know exactly what to say to your boss, your date or your networking partner? You need to know how people work. As a human behaviour investigator, Vanessa Van Edwards studies the hidden forces that drive our behaviour patterns in her lab - and she's cracked the code. In Captivate she shares a wealth of shortcuts, systems and behaviour hacks derived from her research, to help you take charge of interactions at work and at home. You'll learn how to execute a social game plan to navigate any social situation; how to speed-read faces for 7 universal 'micro-expressions' that can be used to predict people's emotions; and much more besides. When you understand the laws of human behaviour you can get along with anyone. With Vanessa's help, you will never interact in the same way again.

The Science of Succeeding with People

Captivate

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

What goals are still feasible for the politics of emancipation on a ruined planet?This is where we are. Today's techno-oligarchs are not concerned with saving the planet; rather, they have accepted the end of progress and are focused on safeguarding their wealth in the face of an impending political and ecological collapse. Artificial intelligence and algorithms make decisions for us. Climate breakdown has long steamed past the wreckage of the Paris Agreement.Perhaps the accelerationists have the right idea. Accelerationism - which aims to resolve the current crisis through the intensification of technological development - is the only philosophy not clinging to the now-extinct idea of progress. The idea has gained ground on both the left and right: but the right-wing is shot through with misanthropy, while the left remains entangled in a faith in technological progress and the domination of nature.Transcending capitalism at the end of progress requires a synthesis of the two. The result of this synthesis: Dark Socialism. From 'rock star philosopher' Kohei Saito comes an anticapitalist clarion call for our breakneck times, channeling despair into a socialist project equal to the end of progress.

Hope in a Ruined World

Dark Socialism

AI-Proof

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