We already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human rights, and social, cultural, and ethical values of democracy. It requires continued education and training as well as continual assessment of its effects through social deliberation. The “Reflections on AI for Humanity” proposed in this book develop the following issues and sketch approaches for addressing them: How can we ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing? What techniques and regulations for the validation, certification, and audit of AI tools are needed to develop confidence in AI? How can we identify and overcome biases in algorithms? How do we design systems that respect essential human values, ensuring moral equality and inclusion? What kinds of governance mechanisms are needed for personal data, metadata, and aggregated data at various levels? What are the effects of AI and automation on the transformation and social division of labor? What are the impacts on economic structures? What proactive and accommodation measures will be required? How will people benefit from decision support systems and personal digital assistants without the risk of manipulation? How do we design transparent and intelligible procedures and ensure that their functions reflect our values and criteria? How can we anticipate failure and restore human control over an AI system when it operates outside its intended scope? How can we devote a substantial part of our research and development resources to the major challenges of our time such as climate, environment, health, and education?

This book discusses the major issues of the current AI debate from the perspectives of philosophy, theology, and the social sciences: Can AI have a consciousness? Is super intelligence possible and probable? How does AI change individual and social life? Can there be artificial persons? What influence does AI have on religious worldviews? In Western societies, we are surrounded by artificially intelligent systems. Most of these systems are embedded in online platforms. But embodiment of AI, be it by voice (Siri, Alexa, Cortana) or by actual physical embodiment (e.g., robots) give artificially intelligent systems another dimension in terms of their impact on how we perceive these systems, how they shape our communication with them and with fellow humans and how we live and work together. AI in any form gives a new twist to the big questions that humanity has concerned herself with for centuries: What is consciousness? How should we treat each other - what is right and what is wrong? How do our creations change the world we are living in? Which challenges do we have to face in the future?

Human Intelligence vs. Artificial Intelligence. A slim book, but one that is brimming with the future, with a global reach, an enjoyable read that will appeal to a wider audience, not just tech or legal experts. It condenses the thoughts of the author – one of the leading European experts in privacy and data rights – and his reflections on the digital world and its rules. Easy to read in a few short hours, original and politically incorrect, for anyone interested in finding their way in the era of the Internet of Things and Big Data algorithms. This brief book offers a visionary but adept perspective on the scenarios that await us (and that, in part, we are already experiencing): an abridged yet unadulterated, open-minded and, at times, un-PC analysis of our “Destiny 4.0”. A destiny shaped by cold, robotic hyper-rationality, perhaps or... perhaps not. Hence the title: Artificial Insanity, a snipe at the relentless, all-pervading Artificial Intelligence. For a “rule of human law”.

If nothing else, the twelve papers assembled in this volume should lay to rest the idea that the interesting debates about the nature of science are still being conducted by "internalists" vs. "externalists,"" rationalists" vs. "arationalists, n or even "normative epistemologists" vs. "empirical sociologists of knowledge. " Although these distinctions continue to haunt much of the theoretical discussion in philosophy and sociology of science, our authors have managed to elude their strictures by finally getting beyond the post-positivist preoccupation of defending a certain division of labor among the science studies disciplines. But this is hardly to claim that our historians, philosophers, sociologists, and psychologists have brought about an "end of ideology," or even an "era of good feelings," to their debates. Rather, they have drawn new lines of battle which center more squarely than ever on practical matters of evaluating and selecting methods for studying science. To get a vivid sense of the new terrain that was staked out at the Yearbook conference, let us start by meditating on a picture. The front cover of a recent collection of sociological studies edited by one of us (Woolgar 1988) bears a stylized picture of a series of lined up open books presented in a typical perspective fashion. The global shape comes close to a trapezium, and is composed of smaller trapeziums gradually decreasing in size and piled upon each other so as to suggest a line receding in depth. The perspective is stylized too.

This Festschrift volume, published in celebration of the 50th Anniversary of Artificial Intelligence, includes 34 refereed papers written by leading researchers in the field of Artificial Intelligence. The papers were carefully selected from the invited lectures given at the 50th Anniversary Summit of AI, held at the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006. The summit provided a venue for discussions on a broad range of topics.

This book presents the first broad reflection on the challenges, opportunities, and implications of Artificial Intelligence (AI) in the Gulf Cooperation Council (GCC). Unique results and insights are derived through case studies from diverse disciplines, including engineering, economics, data science, policy-making, governance, and humanscience. Particularly related to these ‘softer’ disciplines, we make some unexplored yet topical contributions to the literature, with a focus on the GCC (but by no means limited to it), including AI and implications for women, Islamic schools of thought on AI, and the power of AI to help deliver wellbeing and happiness in cities and urban spaces. Finally, the readers are provided with a synthesis of ideas, lessons learned, and a path forward based on the diverse content of the chapters. The book caters to the educated non specialist with interest in AI, targeting a wide audience including professionals, academics, government officials, policymakers, entrepreneurs, and non-governmental organizations.

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.