The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful--possibly beyond our control. As the fate of the gorillas now depends more on humans than on the species itself, so would the fate of humankind depend on the actions of the machine superintelligence.But we have one advantage: we get to make the first move. Will it be possible to construct a seed Artificial Intelligence, to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation?

    Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

    Schumacher's riveting, richly researched statement on sustainability has become more relevant and vital with each year since its initial groundbreaking publication during the 1973 energy crisis. A landmark statement against "bigger is better" industrialism, Schumacher's Small Is Beautiful paved the way for twenty-first century books on environmentalism and economics, like Jeffrey Sachs's The End of Poverty, Paul Hawken's Natural Capitalism, Mohammad Yunis's Banker to the Poor, and Bill McKibben's Deep Economy. This timely reissue offers a crucial message for the modern world struggling to balance economic growth with the human costs of globalization.

    Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

    But as networks of religious fundamentalists, feminists, and bureaucrats struggle to remake sexual and childbearing norms worldwide, the battle to control women's bodies has become a high-stakes enterprise, with the United States often supporting the most reactionary forces. In a work of incisive cultural analysis and deep reporting, Michelle Goldberg shows how the emancipation of women has become the key human rights struggle of the twenty-first century. The Means of Reproduction travels through four continents, examining issues such as abortion, female circumcision, and Asia's missing girls to show how the battle over women's bodies has been globalized and how, too often, the United States has joined sworn enemies such as Iran and Sudan in an axis of repression. Reporting with unique insight from both the rarefied realm of international policy and from individual women's lives, Goldberg elucidates the economic, demographic, and health consequences of women's oppression, which affect more than half the world's population. As The Means of Reproduction reveals, the conflict between self-determination and patriarchal tradition has come to define pressing questions of global development. Empowering women is the key to retarding the progress of AIDS, curbing overpopulation, and helping the third world climb out of poverty, but attempts to improve women's status elicit fierce opposition from conservatives who see women's submission as key to their own national or religious identity. From the anticommunist genesis of America's attempts to stem population growth in poor countries to the current worldwide attack on women's rights as a decadent Western imposition, Goldberg explores the interplay between the great issues of our time and the politics of sex and childbearing. Finally, The Means of Reproduction shows how women, strengthened by a solidarity that transcends borders, are fighting for freedom.

    But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself. The result is a tyranny of metrics that threatens the quality of our lives and most important institutions. In this timely and powerful book, Jerry Muller uncovers the damage our obsession with metrics is causing--and shows how we can begin to fix the problem.Filled with examples from education, medicine, business and finance, government, the police and military, and philanthropy and foreign aid, this brief and accessible book explains why the seemingly irresistible pressure to quantify performance distorts and distracts, whether by encouraging "gaming the stats" or "teaching to the test." That's because what can and does get measured is not always worth measuring, may not be what we really want to know, and may draw effort away from the things we care about. Along the way, we learn why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But metrics can be good when used as a complement to--rather than a replacement for--judgment based on personal experience, and Muller also gives examples of when metrics have been beneficial.Complete with a checklist of when and how to use metrics, The Tyranny of Metrics is an essential corrective to a rarely questioned trend that increasingly affects us all.

    It offers a long overdue validation of the experiences of women of color.Discussing subjects as varied as The Hunger Games, Alexandria Ocasio-Cortez, the viral "BBQ Becky" video, and 19th century lynchings of Mexicans in the American Southwest, Ruby Hamad undertakes a new investigation of gender and race. She shows how the division between innocent white women and racialized, sexualized women of color was created, and why this division is crucial to confront.Along the way are revelatory responses to questions such as: Why are white men not troubled by sexual assault of women? With rigor and precision, Hamad builds a powerful argument about the legacy of white superiority we are socialized in, a reality we must apprehend in order to fight.

    And then she added a phrase that has since gained widespread currency: Well-behaved women seldom make history.Today those words appear almost everywhere on T-shirts, mugs, bumper stickers, plaques, greeting cards, and more. But what do they really mean? In this engrossing volume, Laurel Ulrich goes far beyond the slogan she inadvertently created and explores what it means to make history.Her volume ranges over centuries and cultures, from the fifteenth-century writer Christine de Pizan, who imagined a world in which women achieved power and influence, to the writings of nineteenth-century suffragist Elizabeth Cady Stanton and twentieth-century novelist Virginia Woolf. Ulrich updates de Pizan's Amazons with stories about women warriors from other times and places. She contrasts Woolf's imagined story about Shakespeare's sister with biographies of actual women who were Shakespeare's contemporaries. She turns Stanton's encounter with a runaway slave upside down, asking how the story would change if the slave rather than the white suffragist were at the center. She uses daybook illustrations to look at women who weren't trying to make history, but did. Throughout, she shows how the feminist wave of the 1970s created a generation of historians who by challenging traditional accounts of both men's and women's histories stimulated more vibrant and better-documented accounts of the past. Well-Behaved Women Seldom Make History celebrates a renaissance in history inspired by amateurs, activists, and professional historians. It is a tribute to history and to those who make it.

    From her early days as a journalist and feminist activist, Steinem's words have helped generations to empower themselves and work together.Covering topics from relationships ("Many are looking for the right person. Too few are trying to be the right person.") to the patriarchy ("Men are liked better when they win. Women are liked better when they lose. This is how the patriarchy is enforced every day.") and activism ("Revolutions, like trees, grow from the bottom up."), this is the definitive collection of Steinem's words on what matters most. Steinem sees quotes as "the poetry of everyday life," so she also has included a few favorites from friends, including bell hooks, Flo Kennedy, and Michelle Obama, in this book that will make you want to laugh, march, and create some quotes of your own. In fact, at the end of the book, there's a special space for readers to add their own quotes and others they've found inspiring. The Truth Will Set You Free, But First It Will Piss You Off! is both timeless and timely. It is a gift of hope from Steinem to readers, and a book to share with friends.

    Three young friends meet over apricot cocktails at the Bec-de-Gaz bar on the rue Montparnasse. They are Jean-Paul Sartre, Simone de Beauvoir and their friend Raymond Aron, who opens their eyes to a radical new way of thinking. Pointing to his drink, he says, 'You can make philosophy out of this cocktail!'From this moment of inspiration, Sartre will create his own extraordinary philosophy of real, experienced life–of love and desire, of freedom and being, of cafés and waiters, of friendships and revolutionary fervour. It is a philosophy that will enthral Paris and sweep through the world, leaving its mark on post-war liberation movements, from the student uprisings of 1968 to civil rights pioneers.At the Existentialist Café tells the story of modern existentialism as one of passionate encounters between people, minds and ideas. From the ‘king and queen of existentialism'–Sartre and de Beauvoir–to their wider circle of friends and adversaries including Albert Camus, Martin Heidegger, Maurice Merleau-Ponty and Iris Murdoch, this book is an enjoyable and original journey through a captivating intellectual movement. Weaving biography and thought, Sarah Bakewell takes us to the heart of a philosophy about life that also changed lives, and that tackled the biggest questions of all: what we are and how we are to live.

    By 1974, the British computer industry was all but extinct. What happened in the intervening thirty years holds lessons for all postindustrial superpowers. As Britain struggled to use technology to retain its global power, the nation's inability to manage its technical labor force hobbled its transition into the information age.In Programmed Inequality, Marie Hicks explores the story of labor feminization and gendered technocracy that undercut British efforts to computerize. That failure sprang from the government's systematic neglect of its largest trained technical workforce simply because they were women. Women were a hidden engine of growth in high technology from World War II to the 1960s. As computing experienced a gender flip, becoming male-identified in the 1960s and 1970s, labor problems grew into structural ones and gender discrimination caused the nation's largest computer user -- the civil service and sprawling public sector -- to make decisions that were disastrous for the British computer industry and the nation as a whole.Drawing on recently opened government files, personal interviews, and the archives of major British computer companies, Programmed Inequality takes aim at the fiction of technological meritocracy. Hicks explains why, even today, possessing technical skill is not enough to ensure that women will rise to the top in science and technology fields. Programmed Inequality shows how the disappearance of women from the field had grave macroeconomic consequences for Britain, and why the United States risks repeating those errors in the twenty-first century."

    The pervasiveness of images of torture, horror, and war has all but demolished the twentieth-century hope that such imagery might shock us into a less alienated state, or aid in the creation of a just social order. What to do now? When to look, when to turn away?Genre-busting author Maggie Nelson brilliantly navigates this contemporary predicament, with an eye to the question of whether or not focusing on representations of cruelty makes us cruel. In a journey through high and low culture (Kafka to reality TV), the visual to the verbal (Paul McCarthy to Brian Evenson), and the apolitical to the political (Francis Bacon to Kara Walker), Nelson offers a model of how one might balance strong ethical convictions with an equally strong appreciation for work that tests the limits of taste, taboo, and permissibility.

    In addition to offering a clear-eyed explanation of the root causes of this insidious and entrenched bias and laying out its effects, she suggests concrete steps we can take to cure it.

    Doctors loathed this time-consuming procedure and for centuries relied on midwives. Later, they substituted the efficiency of mechanical devices, including the electric vibrator, invented in the 1880s. In The Technology of Orgasm, Rachel Maines offers readers a stimulating, surprising, and often humorous account of hysteria and its treatment throughout the ages, focusing on the development, use, and fall into disrepute of the vibrator as a legitimate medical device.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases