If you're like most people, you probably believe that humans are the most intelligent animals on our planet. But there's another kind of entity that can be far smarter: groups of people. In this groundbreaking book, Thomas Malone, the founding director of the MIT Center for Collective Intelligence, shows how groups of people working together in superminds -- like hierarchies, markets, democracies, and communities -- have been responsible for almost all human achievements in business, government, science, and beyond. And these collectively intelligent human groups are about to get much smarter. Using dozens of striking examples and case studies, Malone shows how computers can help create more intelligent superminds simply by connecting humans to one another in a variety of rich, new ways. And although it will probably happen more gradually than many people expect, artificially intelligent computers will amplify the power of these superminds by doing increasingly complex kinds of thinking. Together, these changes will have far-reaching implications for everything from the way we buy groceries and plan business strategies to how we respond to climate change, and even for democracy itself. By understanding how these collectively intelligent groups work, we can learn how to harness their genius to achieve our human goals. Drawing on cutting-edge science and insights from a remarkable range of disciplines, Superminds articulates a bold -- and utterly fascinating -- picture of the future that will change the ways you work and live, both with other people and with computers.

    Offering bold new ways of conceiving the present, Lauren Berlant describes the cruel optimism that has prevailed since the 1980s, as the social-democratic promise of the postwar period in the United States and Europe has retracted. People have remained attached to unachievable fantasies of the good life—with its promises of upward mobility, job security, political and social equality, and durable intimacy—despite evidence that liberal-capitalist societies can no longer be counted on to provide opportunities for individuals to make their lives “add up to something.”Arguing that the historical present is perceived affectively before it is understood in any other way, Berlant traces affective and aesthetic responses to the dramas of adjustment that unfold amid talk of precarity, contingency, and crisis. She suggests that our stretched-out present is characterized by new modes of temporality, and she explains why trauma theory—with its focus on reactions to the exceptional event that shatters the ordinary—is not useful for understanding the ways that people adjust over time, once crisis itself has become ordinary. Cruel Optimism is a remarkable affective history of the present.

    Librarian note: an alternate cover for this edition can be found here.Michel Foucault examines the archeology of madness in the West from 1500 to 1800 – from the late Middle Ages, when insanity was still considered part of everyday life and fools and lunatics walked the streets freely, to the time when such people began to be considered a threat, asylums were first built, and walls were erected between the “insane” and the rest of humanity.

    It remains the one of the most widely read books about science to come out of the twentieth century.(Note: the book was first published in 1934, in German, with the title Logik der Forschung. It was "reformulated" into English in 1959. See Wikipedia for details.)

    "A meditation on what it might mean to be human in an age of ever-accelerating technology"--

    Two scientists explore the potential of a revolutionary genetics technology capable of easily and affordably manipulating DNA in human embryos to prevent specific diseases, addressing key concerns about related ethical and societal repercussions.

    As Michael Curtis indicates in his introduction to this edition. Public Opinion qualifies as a classic by virtue of its systematic brilliance and literary grace. The work is divided into eight parts, covering such varied issues as stereotypes, image making, and organized intelligence. The study begins with an analysis of "the world outside and the pictures in our heads, " a leitmotif that starts with issues of censorship and privacy, speed, words, and clarity, and ends with a careful survey of the modern newspaper. The work is a showcase for Lippmann's vast erudition. He easily integrated the historical, psychological, and philosophical literature of his day, and in every instance showed how relevant intellectual formations were to the ordinary operations of everyday life. Public Opinion is of enduring significance for communications scholars, historians, sociologists, and political scientists.

    Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.

    It is the history of who you are and how you came to be. It is unique to you, as it is to each of the 100 billion modern humans who have ever drawn breath. But it is also our collective story, because in every one of our genomes we each carry the history of our species births, deaths, disease, war, famine, migration, and a lot of sex. Since scientists first read the human genome in 2001, it has been subject to all sorts of claims, counterclaims, and myths. In fact, as Adam Rutherford explains, our genomes should be read not as instruction manuals, but as epic poems. DNA determines far less than we have been led to believe about us as individuals, but vastly more about us as a species. In this captivating journey through the expanding landscape of genetics, Adam Rutherford reveals what our genes now tell us about history, and what history tells us about our genes. From Neanderthals to murder, from redheads to race, dead kings to plague, evolution to epigenetics, this is a demystifying and illuminating new portrait of who we are and how we came to be."

    It will be a revelation to those who have known Habermas only through his theoretical writing to find his later interests in problems of legitimation and communication foreshadowed in this lucid study of the origins, nature, and evolution of public opinion in democratic societies.

    What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

    Mumford has drawn on every aspect of life to explain the machine and to trace its social results. "An extraordinarily wide-ranging, sensitive, and provocative book about a subject upon whichphilosophers have so far shed but little light" (Journal of Philosophy).

    The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are uselessin judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us.The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

    As she sped through the pages, she became enthralled by the intense drama behind the competition to discover the code of life. Even though her high school counselor told her girls didn’t become scientists, she decided she would.Driven by a passion to understand how nature works and to turn discoveries into inventions, she would help to make what the book’s author, James Watson, told her was the most important biological advance since his co-discovery of the structure of DNA. She and her collaborators turned ​a curiosity ​of nature into an invention that will transform the human race: an easy-to-use tool that can edit DNA. Known as CRISPR, it opened a brave new world of medical miracles and moral questions. The development of CRISPR and the race to create vaccines for coronavirus will hasten our transition to the next great innovation revolution. The past half-century has been a digital age, based on the microchip, computer, and internet. Now we are entering a life-science revolution. Children who study digital coding will be joined by those who study genetic code. Should we use our new evolution-hacking powers to make us less susceptible to viruses? What a wonderful boon that would be! And what about preventing depression? Hmmm…Should we allow parents, if they can afford it, to enhance the height or muscles or IQ of their kids? After helping to discover CRISPR, Doudna became a leader in wrestling with these moral issues and, with her collaborator Emmanuelle Charpentier, won the Nobel Prize in 2020.

    Civilizations are hard-wired for self-destruction. They travel an arc from initial success to terminal decay and ultimate collapse due to intrinsic, inescapable biophysical limits combined with an inexorable trend toward moral decay and practical failure. Because our own civilization is global, its collapse will also be global, as well as uniquely devastating owing to the immensity of its population, complexity, and consumption. To avoid the common fate of all past civilizations will require a radical change in our ethos—to wit, the deliberate renunciation of greatness—lest we precipitate a dark age in which the arts and adornments of civilization are partially or completely lost.