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Simulated universes created by post-human artificial intelligence are a common theme in 21st century hard sci-fi. Suddenly in 2023, we're capable of realizing these literary dreams by virtue of engineering an interface for neural networks advanced enough to simulate human language and visual art beyond the ability of us average simple country folks. The technological hurdles are behind us. Now it's just a matter of concentrated effort on par with any moderately successful tech start-up or community theater ensemble. We're going to have an AI-generated simulated universe comparable to our own in complexity and accessible interactivity. This book is a guide to content creation, and to the responsible humanitarian development of such an unprecedented wonder!
Elon Musk named Our Final Invention one of five books everyone should read about the future—a Huffington Post Definitive Tech Book of 2013. Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the “smart” in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine. Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to? “If you read just one book that makes you confront scary high-tech realities that we’ll soon have no choice but to address, make it this one.” —The Washington Post “Science fiction has long explored the implications of humanlike machines (think of Asimov’s I, Robot), but Barrat’s thoughtful treatment adds a dose of reality.” —Science News “A dark new book . . . lays out a strong case for why we should be at least a little worried.” —The New Yorker
Can humans and artificial intelligences share concepts and communicate? One aim of Making AI Intelligible is to show that philosophical work on the metaphysics of meaning can help answer these questions. Cappelen and Dever use the externalist tradition in philosophy of to create models of how AIs and humans can understand each other. In doing so, they also show ways in which that philosophical tradition can be improved: our linguistic encounters with AIs revel that our theories of meaning have been excessively anthropocentric. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about (e.g. creditworthiness, recidivism, cancer, and combatants.) If AIs can share our concepts, that will go some way towards justifying this reliance on AI. The book can be read as a proposal for how to take some first steps towards achieving interpretable AI. Making AI Intelligible is of interest to both philosophers of language and anyone who follows current events or interacts with AI systems. It illustrates how philosophy can help us understand and improve our interactions with AI.
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
In The Risk Perception of Artificial Intelligence, Hugo Neri examines how society has come to understand artificial intelligence by studying how cultural productions, intellectuals, and the media have shaped society’s views, understandings, and fears of artificial intelligence. As an abstract term, artificial intelligence has been understood both as a discipline and a "robot's mind." In the twenty and twenty-first centuries, cultural representations in comics, television shows, and movies converged with public lectures about the risks of A.I. by prominent public figures such as Stephen Hawking and Elon Musk. Neri analyzes how this cultural and intellectual miscellany shapes the way we perceive artificial intelligence and whether this perception is universal or restricted to the Western 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.
This book provides a comprehensive account of Chinese AI in its various facets, based on primary Chinese-language sources. China’s rise as an AI power is an event of importance to the world and a potential challenge to liberal democracies. Filling a gap in the literature, this volume is fully documented, data-driven, and presented in a scholarly format suitable for citation and for supporting downstream research, while also remaining accessible to laypersons. It brings together 15 recognized international experts to present a full treatment of Chinese artificial intelligence. The volume contains chapters on state, commercial, and foreign sources of China’s AI power; China’s AI talent, scholarship, and global standing; the impact of AI on China’s development of cutting-edge disciplines; China’s use of AI in military, cyber, and surveillance applications; AI safety, threat mitigation, and the technology’s likely trajectory. The book ends with recommendations drawn from the authors’ interactions with policymakers and specialists worldwide, aimed at encouraging AI’s healthy development in China and preparing the rest of the world to engage with it. This book will be of much interest to students of Chinese politics, science and technology studies, security studies and international relations.
A sweeping new interpretation of the history of civilization and a transformative vision of how our species will thrive on an unpredictable Earth. The viruses keep coming, the climate is warming, and the Earth is rewilding. Our human family has no playbook to address the mayhem unfolding around us. If there is a change to reckon with, argues the renowned economic and social theorist Jeremy Rifkin, it’s that we are beginning to realize that the human race never had dominion over the Earth and that nature is far more formidable than we thought, while our species seems much smaller and less significant in the bigger picture of life on Earth, undermining our long-cherished worldview. The Age of Progress, once considered sacrosanct, is on a deathwatch while a powerful new narrative, the Age of Resilience, is ascending. In The Age of Resilience, Rifkin takes us on a new journey beginning with how we reconceptualize time and navigate space. During the Age of Progress, efficiency was the gold standard for organizing time, locking our species into the quest to optimize the expropriation, commodification, and consumption of the Earth’s bounty, at ever-greater speeds and in ever-shrinking time intervals, with the objective of increasing the opulence of human society, but at the expense of the depletion of nature. Space, observes Rifkin, became synonymous with passive natural resources, while a principal role of government and the economy was to manage nature as property. This long adhered to temporal-spatial orientation, writes Rifkin, has taken humanity to the commanding heights as the dominant species on Earth and to the ruin of the natural world. In the emerging era, says Rifkin, efficiency is giving way to adaptivity as the all-encompassing temporal value while space is perceived as animated, self-organizing, and fluid. A younger generation, in turn, is pivoting from growth to flourishing, finance capital to ecological capital, productivity to regenerativity, Gross Domestic Product to Quality of Life Indicators, hyper-consumption to eco-stewardship, globalization to glocalization, geopolitics to biosphere politics, nation-state sovereignty to bioregional governance, and representative democracy to citizen assemblies and distributed peerocracy. Future generations, suggests Rifkin, will likely experience existence less as objects and structures and more as patterns and processes and come to understand that each of us is literally an ecosystem made up of the microorganisms and elements that comprise the hydrosphere, lithosphere, atmosphere, and biosphere. The autonomous self of the Age of Progress is giving way to the ecological self of the Age of Resilience. The now worn scientific method that underwrote the Age of Progress is also falling by the wayside, making room for a new approach to science called Complex Adaptive Systems modeling. Likewise, detached reason is losing cachet while empathy and biophilia become the norm. At a moment when the human family is deeply despairing of the future, Rifkin gives us a window into a promising new world and a radically different future that can bring us back into nature’s fold, giving life a second chance to flourish on Earth.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data