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Technology is breaking politics – what can be done about it? Artificially intelligent “bot” accounts attack politicians and public figures on social media. Conspiracy theorists publish junk news sites to promote their outlandish beliefs. Campaigners create fake dating profiles to attract young voters. We live in a world of technologies that misdirect our attention, poison our political conversations, and jeopardize our democracies. With massive amounts of social media and public polling data, and in depth interviews with political consultants, bot writers, and journalists, Philip N. Howard offers ways to take these “lie machines” apart. Lie Machines is full of riveting behind the scenes stories from the world’s biggest and most damagingly successful misinformation initiatives—including those used in Brexit and U.S. elections. Howard not only shows how these campaigns evolved from older propaganda operations but also exposes their new powers, gives us insight into their effectiveness, and shows us how to shut them down.
Technology is breaking politics--what can be done about it? Artificially intelligent "bot" accounts attack politicians and public figures on social media. Conspiracy theorists publish junk news sites to promote their outlandish beliefs. Campaigners create fake dating profiles to attract young voters. We live in a world of technologies that misdirect our attention, poison our political conversations, and jeopardize our democracies. With massive amounts of social media and public polling data, and in-depth interviews with political consultants, bot writers, and journalists, Philip N. Howard offers ways to take these "lie machines" apart. Lie Machines is full of riveting behind-the-scenes stories from the world's biggest and most damagingly successful misinformation initiatives--including those used in Brexit and U.S. elections. Howard not only shows how these campaigns evolved from older propaganda operations but also exposes their new powers, gives us insight into their effectiveness, and explains how to shut them down.
For centuries, all manner of truth-seekers have used the lie detector. In this eye-opening book, Geoffrey C Bunn unpacks the history of this device and explores the interesting and often surprising connection between technology and popular culture.
This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advanced artifi cial intelligence. The book further discusses algorithms and applications in tensor learning, spectrum estimation learning, Finsler geometry learning, Homology boundary learning, and prototype theory. With abundant case studies, this book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artifi cial intelligence, machine learning, automation, mathematics, management science, cognitive science, financial management, and data analysis. In addition, this text can be used as the basis for teaching the principles of machine learning. Li Fanzhang is professor at the Soochow University, China. He is director of network security engineering laboratory in Jiangsu Province and is also the director of the Soochow Institute of industrial large data. He published more than 200 papers, 7 academic monographs, and 4 textbooks. Zhang Li is professor at the School of Computer Science and Technology of the Soochow University. She published more than 100 papers in journals and conferences, and holds 23 patents. Zhang Zhao is currently an associate professor at the School of Computer Science and Technology of the Soochow University. He has authored and co-authored more than 60 technical papers.
Using case studies and the results of extensive fieldwork, this book considers the nature of state power and legal violence in liberal democracies by focusing on the interaction between law, science, and policing in India. The postcolonial Indian police have often been accused of using torture in both routine and exceptional criminal cases, but they, and forensic psychologists, have claimed that lie detectors, brain scans, and narcoanalysis (the use of “truth serum,” Sodium Pentothal) represent a paradigm shift away from physical torture; most state high courts in India have upheld this rationale. The Truth Machines examines the emergence and use of these three scientific techniques to analyze two primary themes. First, the book questions whether existing theoretical frameworks for understanding state power and legal violence are adequate to explain constant innovations of the state. Second, it explores the workings of law, science, and policing in the everyday context to generate a theory of state power and legal violence, challenging the monolithic frameworks about this relationship, based on a study of both state and non-state actors. Jinee Lokaneeta argues that the attempt to replace physical torture with truth machines in India fails because it relies on a confessional paradigm that is contiguous with torture. Her work also provides insights into a police institution that is founded and refounded in its everyday interactions between state and non-state actors. Theorizing a concept of Contingent State, this book demonstrates the disaggregated, and decentered nature of state power and legal violence, creating possible sites of critique and intervention.
Prepare to have your conception of truth rocked to its very foundation. It is the year 2004. Violent crime is the number one political issue in America. Now, the Swift and Sure Anti-Crime Bill guarantees a previously convicted violent criminal one fair trial, one quick appeal, then immediate execution. To prevent abuse of the law, a machine must be built that detects lies with 100 percent accuracy. Once perfected, the Truth Machine will change the face of the world. Yet the race to finish the Truth Machine forces one man to commit a shocking act of treachery, burdening him with a dark secret that collides with everything he believes in. Now he must conceal the truth from his own creation . . . or face his execution. By turns optimistic and chilling--and always profound--The Truth Machine is nothing less than a history of the future, a spellbinding chronicle that resonates with insight, wisdom . . . and astounding possibility. "PROFOUND." --Associated Press
In this fascinating history of the lie detector, Ken Alder exposes some persistent truths about our culture: why we long to know the secret thoughts of our fellow citizens; why we believe in popular science; and why we embrace ?truthiness.? For centuries people searched in vain for a way to unmask liars, seeking clues in the body?s outward signs: in blushing cheeks and shifty eyes. Not until the 1920s did a cop with a PhD team up with an entrepreneurial high school student and claim to have invented a foolproof machine capable of peering directly into the human heart. Scientists repudiated the technique, and judges banned its results from criminal trials, but in a few years their polygraph had transformed police work, seized headlines, and enthralled the nation.ø In this book, Alder explains why America?and only America?has embraced this mechanical method of reading the human soul. Over the course of the twentieth century, the lie detector became integral to our justice system, employment markets, and national security apparatus, transforming each into a game of bluff and bluster. The lie detector device may not reliably read the human mind, but this lively account shows that the instrument?s history offers a unique window into the American soul.
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
This book will enable you to determine whether or not someone is lying to you. Contains over 60 axioms or guidelines that put your subject through the gauntlet. From FBI Agent to Housewife, you need to read this book. After you do, you will never look at the NEWS, political speeches, or anything that the government tells you in the same light. Conceived in an environment of pathological liars, this book takes "common sense" to a new level. Some deceptions are very subtle and nefarious, and some deceptions are your own conclusions - which you arrive at by the design of the liar - or government - which tells you only what will lead you to believe their lies
"The most important book to read about the AI boom" (Wired): The "gripping" (New Yorker) true story of the first time machines came for human jobs—and how the Luddite uprising explains the power, threat, and toll of big tech and AI today Named one of the best books of the year by The New Yorker, Wired, and the Financial Times • A Next Big Idea Book Club "Must-Read" The most urgent story in modern tech begins not in Silicon Valley but two hundred years ago in rural England, when workers known as the Luddites rose up rather than starve at the hands of factory owners who were using automated machines to erase their livelihoods. The Luddites organized guerrilla raids to smash those machines—on punishment of death—and won the support of Lord Byron, enraged the Prince Regent, and inspired the birth of science fiction. This all-but-forgotten class struggle brought nineteenth-century England to its knees. Today, technology imperils millions of jobs, robots are crowding factory floors, and artificial intelligence will soon pervade every aspect of our economy. How will this change the way we live? And what can we do about it? The answers lie in Blood in the Machine. Brian Merchant intertwines a lucid examination of our current age with the story of the Luddites, showing how automation changed our world—and is shaping our future.