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This timely book investigates emerging efforts to govern artificial intelligence (AI) at an international level. It aptly emphasizes the complex interactions involved when creating international laws, exploring potential and current developments in AI regulation.
AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence (AI) with Africa’s unique socio-economic realities. This book is the first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent. Given the existence of significant disparities in Africa related to gender, race, labour, and power, the book argues that the continent requires different AI solutions to its problems, ones that are not founded on technological determinism or exclusively on the adoption of Eurocentric or Western-centric worldviews. It embraces a decolonial approach to exploring and addressing issues such as AI’s diversity crisis, the absence of ethical policies around AI that are tailor-made for Africa, the ever-widening digital divide, and the ongoing practice of dismissing African knowledge systems in the contexts of AI research and education. Although the book suggests a number of humanistic strategies with the goal of ensuring that Africa does not appropriate AI in a manner that is skewed in favour of a privileged few, it does not support the notion that the continent should simply opt for a "one-size-fits-all" solution either. Rather, in light of Africa’s rich diversity, the book embraces the need for plurality within different regions’ AI ecosystems. The book advocates that Africa-inclusive AI policies incorporate a relational ethics of care which explicitly addresses how Africa’s unique landscape is entwined in an AI ecosystem. The book also works to provide actionable AI tenets that can be incorporated into policy documents that suit Africa’s needs. This book will be of great interest to researchers, students, and readers who wish to critically appraise the different facets of AI in the context of Africa, across many areas that run the gamut from education, gender studies, and linguistics to agriculture, data science, and economics. This book is of special appeal to scholars in disciplines including anthropology, computer science, philosophy, and sociology, to name a few.
A groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology. The Age of Intelligent Machines is upon us, and we are at a reflection point. The proliferation of fast–moving technologies, including forms of artificial intelligence akin to a new species, will cause us to confront profound questions about ourselves. The era of human intellectual superiority is ending, and we need to plan for this monumental shift. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic world order, also have the potential to transform our health and well–being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical that we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech’s insidious threats. To realize AI’s transcendent potential, Coleman advocates for inviting a diverse group of voices to participate in designing our intelligent machines and using our moral imagination to ensure that human rights, empathy, and equity are core principles of emerging technologies. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design. “[Coleman] argues that the algorithms of machine learning––if they are instilled with human ethics and values––could bring about a new era of enlightenment.” —San Francisco Chronicle
AI-Powered Productivity is a guide to understanding and using AI and generative tools in professional settings. Chapter 1 introduces AI basics, its impact on various sectors, and an overview of generative AI tools. Chapter 2 delves into large language models exploring their integration with multimodal technologies and effects on productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, with tutorials on crafting effective prompts and advanced techniques, including real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision-making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights AI's role in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future workforce trends. This book is designed for both beginners and professionals, offering a deep dive into AI concepts, tools, and practices that define the current AI landscape.
A trenchant defense of hierarchy in different spheres of our lives, from the personal to the political All complex and large-scale societies are organized along certain hierarchies, but the concept of hierarchy has become almost taboo in the modern world. Just Hierarchy contends that this stigma is a mistake. In fact, as Daniel Bell and Wang Pei show, it is neither possible nor advisable to do away with social hierarchies. Drawing their arguments from Chinese thought and culture as well as other philosophies and traditions, Bell and Wang ask which forms of hierarchy are justified and how these can serve morally desirable goals. They look at ways of promoting just forms of hierarchy while minimizing the influence of unjust ones, such as those based on race, sex, or caste. Which hierarchical relations are morally justified and why? Bell and Wang argue that it depends on the nature of the social relation and context. Different hierarchical principles ought to govern different kinds of social relations: what justifies hierarchy among intimates is different from what justifies hierarchy among citizens, countries, humans and animals, and humans and intelligent machines. Morally justified hierarchies can and should govern different spheres of our social lives, though these will be very different from the unjust hierarchies that have governed us in the past. A vigorous, systematic defense of hierarchy in the modern world, Just Hierarchy examines how hierarchical social relations can have a useful purpose, not only in personal domains but also in larger political realms.
""AI Race"" explores the transformative power of artificial intelligence, examining its current applications and far-reaching implications for our future. This comprehensive book delves into the rapidly evolving AI landscape, offering readers a balanced view of both the potential benefits and risks associated with advanced AI systems. From healthcare to finance, the book showcases how AI is already reshaping various industries, while also projecting its long-term impact on employment, education, and human cognition. Structured around three core themes—the current state of AI technology, its widespread adoption, and its potential long-term impact—""AI Race"" provides a nuanced analysis of complex issues such as algorithmic bias and AI safety. The book stands out for its interdisciplinary approach, drawing connections between computer science, economics, psychology, and philosophy. It presents cutting-edge research and real-world examples in an accessible style, making it valuable for business leaders, policymakers, and anyone interested in understanding how AI will shape our future. Progressing from fundamental concepts to future scenarios, ""AI Race"" equips readers with the knowledge to navigate an AI-driven world. It addresses ongoing debates in the field, including the potential for artificial general intelligence and the need for algorithmic transparency, encouraging readers to form informed opinions on these critical issues.
The first collective work devoted exclusively to the ethical and penal theoretical considerations of the use of artificial intelligence at sentencing Is it morally acceptable to use artificial intelligence (AI) in the determination of sentences on those who have broken the law? If so, how should such algorithms be used--and what are the consequences? Jesper Ryberg and Julian V. Roberts bring together leading experts to answer these questions. Sentencing and Artificial Intelligence investigates to what extent, and under which conditions, justice and the social good may be promoted by allocating parts of the most important task of the criminal court--that of determining legal punishment--to computerized sentencing algorithms. The introduction of an AI-based sentencing system could save significant resources and increase consistency across jurisdictions. But it could also reproduce historical biases, decrease transparency in decision-making, and undermine trust in the justice system. Dealing with a wide-range of pertinent issues including the transparency of algorithmic-based decision-making, the fairness and morality of algorithmic sentencing decisions, and potential discrimination as a result of these practices, this volume offers avaluable insight on the future of sentencing.
Brand building is a competitive advantage that organizations can leverage to multiply their value. Artificial intelligence (AI), is a recent phenomenon that enables organizations reduce errors, build efficiencies and increase profitability, thereby freeing their human capital to perform more intellectual tasks. This book presents the case for building brands effectively and optimally using AI, thereby enhancing the overall value of the organization. This book is ideal for entrepreneurs, investors, CEOs, and brand managers as it provides them with pathways of using AI to build brands and create value. It can be used as a textbook in courses on brand management and as a supplemental text in marketing management courses. It is especially relevant today, where many enterprises are being founded by non-marketing professionals.
NEW YORK TIMES BESTSELLER • An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO of Microsoft AI “A fascinating, well-written, and important book.”—Yuval Noah Harari “Essential reading.”—Daniel Kahneman “An excellent guide for navigating unprecedented times.”—Bill Gates A Best Book of the Year: CNN, Economist, Bloomberg, Politico Playbook, Financial Times, The Guardian, CEO Magazine, Semafor • Winner of the Inc. Non-Obvious Book Award • Finalist for the Porchlight Business Book Award and the Financial Times and Schroders Business Book of the Year Award We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared. As co-founder of the pioneering AI company DeepMind, part of Google, Mustafa Suleyman has been at the center of this revolution. The coming decade, he argues, will be defined by this wave of powerful, fast-proliferating new technologies. In The Coming Wave, Suleyman shows how these forces will create immense prosperity but also threaten the nation-state, the foundation of global order. As our fragile governments sleepwalk into disaster, we face an existential dilemma: unprecedented harms on one side, the threat of overbearing surveillance on the other. Can we forge a narrow path between catastrophe and dystopia? Is it possible to contain the threat of AI? This groundbreaking book from the ultimate AI insider establishes “the containment problem”—the task of maintaining control over powerful technologies—as the essential challenge of our age.
An unusually multifaceted approach to American higher education that views institutions as complex organisms, Academia Next offers a fresh perspective on the emerging colleges and universities of today and tomorrow.