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Most aspects of our private and social lives—our safety, the integrity of the financial system, the functioning of utilities and other services, and national security—now depend on computing. But how can we know that this computing is trustworthy? In Mechanizing Proof, Donald MacKenzie addresses this key issue by investigating the interrelations of computing, risk, and mathematical proof over the last half century from the perspectives of history and sociology. His discussion draws on the technical literature of computer science and artificial intelligence and on extensive interviews with participants. MacKenzie argues that our culture now contains two ideals of proof: proof as traditionally conducted by human mathematicians, and formal, mechanized proof. He describes the systems constructed by those committed to the latter ideal and the many questions those systems raise about the nature of proof. He looks at the primary social influence on the development of automated proof—the need to predict the behavior of the computer systems upon which human life and security depend—and explores the involvement of powerful organizations such as the National Security Agency. He concludes that in mechanizing proof, and in pursuing dependable computer systems, we do not obviate the need for trust in our collective human judgment.
Why the social character of scientific knowledge makes it trustworthy Are doctors right when they tell us vaccines are safe? Should we take climate experts at their word when they warn us about the perils of global warming? Why should we trust science when so many of our political leaders don't? Naomi Oreskes offers a bold and compelling defense of science, revealing why the social character of scientific knowledge is its greatest strength—and the greatest reason we can trust it. Tracing the history and philosophy of science from the late nineteenth century to today, this timely and provocative book features a new preface by Oreskes and critical responses by climate experts Ottmar Edenhofer and Martin Kowarsch, political scientist Jon Krosnick, philosopher of science Marc Lange, and science historian Susan Lindee, as well as a foreword by political theorist Stephen Macedo.
How the blockchain—a system built on foundations of mutual mistrust—can become trustworthy. The blockchain entered the world on January 3, 2009, introducing an innovative new trust architecture: an environment in which users trust a system—for example, a shared ledger of information—without necessarily trusting any of its components. The cryptocurrency Bitcoin is the most famous implementation of the blockchain, but hundreds of other companies have been founded and billions of dollars invested in similar applications since Bitcoin's launch. Some see the blockchain as offering more opportunities for criminal behavior than benefits to society. In this book, Kevin Werbach shows how a technology resting on foundations of mutual mistrust can become trustworthy. The blockchain, built on open software and decentralized foundations that allow anyone to participate, seems like a threat to any form of regulation. In fact, Werbach argues, law and the blockchain need each other. Blockchain systems that ignore law and governance are likely to fail, or to become outlaw technologies irrelevant to the mainstream economy. That, Werbach cautions, would be a tragic waste of potential. If, however, we recognize the blockchain as a kind of legal technology that shapes behavior in new ways, it can be harnessed to create tremendous business and social value.
Cliffe Knechtle offers clear, reasoned and compassionate responses to the tough questions skeptics ask.
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Winner of the Scribes Book Award “Displays a level of intellectual honesty one rarely encounters these days...This is delightful stuff.” —Barton Swaim, Wall Street Journal “At a time when the concept of truth itself is in trouble, this lively and accessible account provides vivid and deep analysis of the practices addressing what is reliably true in law, science, history, and ordinary life. The Proof offers both timely and enduring insights.” —Martha Minow, former Dean of Harvard Law School “His essential argument is that in assessing evidence, we need, first of all, to recognize that evidence comes in degrees...and that probability, the likelihood that the evidence or testimony is accurate, matters.” —Steven Mintz, Inside Higher Education “I would make Proof one of a handful of books that all incoming law students should read...Essential and timely.” —Emily R. D. Murphy, Law and Society Review In the age of fake news, trust and truth are hard to come by. Blatantly and shamelessly, public figures deceive us by abusing what sounds like evidence. To help us navigate this polarized world awash in misinformation, preeminent legal theorist Frederick Schauer proposes a much-needed corrective. How we know what we think we know is largely a matter of how we weigh the evidence. But evidence is no simple thing. Law, science, public and private decision making—all rely on different standards of evidence. From vaccine and food safety to claims of election-fraud, the reliability of experts and eyewitnesses to climate science, The Proof develops fresh insights into the challenge of reaching the truth. Schauer reveals how to reason more effectively in everyday life, shows why people often reason poorly, and makes the case that evidence is not just a matter of legal rules, it is the cornerstone of judgment.
A proven model to create high-performing, high-trust organizations Globally, there has been a decline in trust over the past few decades, and only a third of Americans believe they can trust the government, big business, and large institutions. In The Decision to Trust, Robert Hurley explains how this new culture of cynicism and distrust creates many problems, and why it is almost impossible to manage an organization well if its people do not trust one another. High-performing, world-class companies are almost always high-trust environments. Without this elusive, important ingredient, companies cannot attract or retain top talent. In this book, Hurley reveals a new model to measure and repair trust with colleagues managers and employees. Outlines a proven Decision to Trust Model (DTM) of ten factors that establish whether or not one party will trust the other Filled with original examples from Daimler, PriceWaterhouse Coopers, Goldman Sachs, Microsoft, QuikTrip, General Electric, Procter and Gamble, AzKoNobel, Johnson and Johnson, Whole Foods, and Zappos Reveals how leaders in Asia, Europe, and North America have used the DTM to build high-trust organizations Covering trust building in teams, across functions, within organizations and across national cultures, The Decision to Trust shows how any organization can improve trust and the bottom line.
Why is it that some people work hard, yet remain poor? How is it that others seem to rise out of poverty and become affluent in a short span of time? If you want to know how to become rich relatively quickly, and avoid spending years working back-breakingly hard without ever breaking even, then read on. The answers to escaping poverty and becoming wealthy are actually well known and based on a number of powerful principles that have been tested by time and replicated in different countries, by families and individuals who have become astonishingly rich. So, what are these ideas that genuinely lift people out of poverty and ensure their personal wealth? Here are 50. They all work. They will make you richer. They remove the emotion, the politics and the clutter from our thoughts about wealth, and they go straight to the heart of one simple issue: what it genuinely takes to become rich. Prepare to train your brain for wealth. Prepare to become ‘poverty proof’ for life,
How do we know what we think we know? The answer is evidence, but evidence is no simple thing. What counts as evidence in a scientific context or private dispute may not stand up in court. Frederick Schauer combines perspectives from law, statistics, psychology, and philosophy to assess the nature of evidence in the era of “fake news.”