Spying on the World Aldrich, Richard J; Cormac, Rory; Goodman, Michael S
05/2014
eBook
A unique and fascinating insight into the content and quality of the assessments that the JIC fed into British policy-making since the start of the Second World War to the 2013 Syrian crisis.
The hidden costs of artificial intelligence, from natural
resources and labor to privacy and freedom What happens
when artificial intelligence saturates political life and depletes
the planet? How is ...AI shaping our understanding of ourselves and
our societies? In this book Kate Crawford reveals how this
planetary network is fueling a shift toward undemocratic governance
and increased inequality. Drawing on more than a decade of
research, award-winning science, and technology, Crawford reveals
how AI is a technology of extraction: from the energy and minerals
needed to build and sustain its infrastructure, to the exploited
workers behind "automated" services, to the data AI collects from
us. Rather than taking a narrow focus on code and algorithms,
Crawford offers us a political and a material perspective on what
it takes to make artificial intelligence and where it goes wrong.
While technical systems present a veneer of objectivity, they are
always systems of power. This is an urgent account of what is at
stake as technology companies use artificial intelligence to
reshape the world.
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly ...algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers.
Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applicationsContains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging ...problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade. The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research. Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledge representation in reinforcement learning settings.
Inequality by design Fischer, Claude S; u.a
1996, 2020, 1996-00-00, 2020-11-10, 19960101
eBook, Book
As debate rages over the widening and destructive gap between the rich and the rest of Americans, Claude Fischer and his colleagues present a comprehensive new treatment of inequality in America. ...They challenge arguments that expanding inequality is the natural, perhaps necessary, accompaniment of economic growth. They refute the claims of the incendiary bestseller The Bell Curve (1994) through a clear, rigorous re-analysis of the very data its authors, Richard Herrnstein and Charles Murray, used to contend that inherited differences in intelligence explain inequality. Inequality by Design offers a powerful alternative explanation, stressing that economic fortune depends more on social circumstances than on IQ, which is itself a product of society. More critical yet, patterns of inequality must be explained by looking beyond the attributes of individuals to the structure of society. Social policies set the "rules of the game" within which individual abilities and efforts matter. And recent policies have, on the whole, widened the gap between the rich and the rest of Americans since the 1970s. Not only does the wealth of individuals' parents shape their chances for a good life, so do national policies ranging from labor laws to investments in education to tax deductions. The authors explore the ways that America--the most economically unequal society in the industrialized world--unevenly distributes rewards through regulation of the market, taxes, and government spending. It attacks the myth that inequality fosters economic growth, that reducing economic inequality requires enormous welfare expenditures, and that there is little we can do to alter the extent of inequality. It also attacks the injurious myth of innate racial inequality, presenting powerful evidence that racial differences in achievement are the consequences, not the causes, of social inequality. By refusing to blame inequality on an unchangeable human nature and an inexorable market--an excuse that leads to resignation and passivity-- Inequality by Design shows how we can advance policies that widen opportunity for all.
An "intriguing, insightful" look at how algorithms and robots could lead to social unrest—and how to avoid it ( The Economist, Books of the Year). After decades of effort, researchers are finally ...cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. "A reminder that AI systems don't need red laser eyes to be dangerous."— Times Higher Education Supplement "Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs."— Financial Times
This book offers a complete framework for classifying and transcribing sequential data with recurrent neural networks. It uses state-of-the-art results in speech and handwriting recognition to show ...the framework in action.
To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical ...logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. * Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. * The first full book on commonsense reasoning to use the event calculus. * Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. * Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. * Includes fully worked out proofs and circumscriptions for every example.
Artificial Intelligence and Global Security: Future Trends, Threats and Considerationsbrings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in ...military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.
