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Author: Cleve Haubold
Publisher: Samuel French, Inc.
ISBN: 9780573642029
Category :
Languages : en
Pages : 20
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Book Description
Author: Cleve Haubold
Publisher: Samuel French, Inc.
ISBN: 9780573642029
Category :
Languages : en
Pages : 20
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Book Description
Author: Frank Pasquale
Publisher: Harvard University Press
ISBN: 0674967100
Category : Law
Languages : en
Pages : 320
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Book Description
Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
Author: Julie Schumacher
Publisher: Delacorte Press
ISBN: 0375891161
Category : Young Adult Fiction
Languages : en
Pages : 178
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Book Description
WHEN DORA, ELENA’S older sister, is diagnosed with depression and has to be admitted to the hospital, Elena can’t seem to make sense of their lives anymore. At school, the only people who acknowledge Elena are Dora’s friends and Jimmy Zenk—who failed at least one grade and wears blackevery day of the week. And at home, Elena’s parents keep arguing with each other. Elena will do anything to help her sister get better and get their lives back to normal—even when the responsibility becomes too much to bear.
Author: Bev Harris
Publisher: Talion Publishing
ISBN:
Category : Political Science
Languages : en
Pages : 272
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Book Description
The definitive expose on electronic voting. 328 footnotes. Over 100 cases documented where voting machines miscounted elections, internal memos, details about the source code and programming that controls voting machines used worldwide.
Author: Susanne Bauer
Publisher:
ISBN: 9781912729067
Category :
Languages : en
Pages : 628
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Book Description
A book full of boxes. A box in itself. An unboxing. This book explores boxes in their broadest sense and size. It invites us to step into the field, unravel how and why things are contained and how it might be otherwise. By turning the focus of Science and Technology Studies (STS) to boxing practices, this collation of essays examines boxes as world-making devices. Gathered in the format of a field guide, it offers an introduction to ways of ordering the world, unpacking their boxed-up, largely invisible politics and epistemics. Performatively, pushing against conventional uses of academic books, this volume is about rethinking taken-for-granted formats and infrastructures of scholarly ordering - thinking, writing, reading. It diverges from encyclopedic logics and representative overviews of boxing practices and the architectural organization of monographs and edited volumes through a single, overarching argument. This book asks its users to leave well-trodden paths of linear and comprehensive reading and invites them to read sideways, creating their own orders through associations and relating. Thus, this book is best understood as an intervention, a beginning, an open box, a slim volume that needs expansion and further experiments with ordering by its users.
Author: Robert Stowe England
Publisher: Bloomsbury Publishing USA
ISBN: 0313392900
Category : Business & Economics
Languages : en
Pages : 262
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Book Description
This cautionary tale explains how the murky and complex world of mortgage finance caused a global market meltdown—and offers new insights on how to create a stronger world of banking and mortgage finance. Years after the economic crisis of the late 2000s, Americans still want to know what went wrong—and why. Black Box Casino: How Wall Street's Risky Shadow Banking Crashed Global Finance provides an accurate and understandable explanation, compiling and interpreting mountains of evidence to provide clear analysis and insight into the crisis that traumatized people and institutions around the globe. The book provides a thorough, in-depth examination of the multiple contributing factors. The author goes back as far as 15 years before the crisis to show how the well-intentioned idea of providing home ownership prompted a government led effort to steadily weaken credit standards. He assigns partial blame on regulators that were unaware of growing levels of risk, ignored mounting evidence of a housing bubble, and failed to grasp the unintended consequences of certain regulations. The origins of the overload of subprime collateralized debt obligations that led to concentrated risks on the balance sheets of many large banks around the world are also explained.
Author: Matthew Syed
Publisher: Penguin
ISBN: 069840887X
Category : Business & Economics
Languages : en
Pages : 377
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Book Description
Nobody wants to fail. But in highly complex organizations, success can happen only when we confront our mistakes, learn from our own version of a black box, and create a climate where it’s safe to fail. We all have to endure failure from time to time, whether it’s underperforming at a job interview, flunking an exam, or losing a pickup basketball game. But for people working in safety-critical industries, getting it wrong can have deadly consequences. Consider the shocking fact that preventable medical error is the third-biggest killer in the United States, causing more than 400,000 deaths every year. More people die from mistakes made by doctors and hospitals than from traffic accidents. And most of those mistakes are never made public, because of malpractice settlements with nondisclosure clauses. For a dramatically different approach to failure, look at aviation. Every passenger aircraft in the world is equipped with an almost indestructible black box. Whenever there’s any sort of mishap, major or minor, the box is opened, the data is analyzed, and experts figure out exactly what went wrong. Then the facts are published and procedures are changed, so that the same mistakes won’t happen again. By applying this method in recent decades, the industry has created an astonishingly good safety record. Few of us put lives at risk in our daily work as surgeons and pilots do, but we all have a strong interest in avoiding predictable and preventable errors. So why don’t we all embrace the aviation approach to failure rather than the health-care approach? As Matthew Syed shows in this eye-opening book, the answer is rooted in human psychology and organizational culture. Syed argues that the most important determinant of success in any field is an acknowledgment of failure and a willingness to engage with it. Yet most of us are stuck in a relationship with failure that impedes progress, halts innovation, and damages our careers and personal lives. We rarely acknowledge or learn from failure—even though we often claim the opposite. We think we have 20/20 hindsight, but our vision is usually fuzzy. Syed draws on a wide range of sources—from anthropology and psychology to history and complexity theory—to explore the subtle but predictable patterns of human error and our defensive responses to error. He also shares fascinating stories of individuals and organizations that have successfully embraced a black box approach to improvement, such as David Beckham, the Mercedes F1 team, and Dropbox.
Author: Shiori Ito
Publisher: Feminist Press at CUNY
ISBN: 1952177987
Category : Biography & Autobiography
Languages : en
Pages : 146
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Book Description
Black Box is a riveting, sobering memoir that chronicles one woman’s struggle for justice, calling for changes to an industry—and in society at large—to ensure that future victims if sexual assault can come forward without being silenced and humiliated. 2015, an aspiring young journalist named Shiori Ito charged prominent reporter Noriyuki Yamaguchi with rape. After meeting up for drinks and networking, Ito remembers regaining consciousness in a hotel room while being assaulted. But when she went to the police, Ito was told that her case was a “black box”—untouchable and unprosecutable. Upon publication in 2017, Ito’s searing account foregrounded the #MeToo movement in Japan and became the center of an urgent cultural and legal shift around recognizing sexual assault and gender-based violence. As international outlets covered every step of her story—even documenting it in the BBC film Japan’s Secret Shame—this book launched a societal reckoning. At the end of 2019, Ito won a civil case against Yamaguchi. With careful and quiet fury, Black Box recounts a broken system of repression and violence—but it also heralds the beginning of a new solidarity movement seeking a more equitable path toward justice.
Author: Michael Connelly
Publisher:
ISBN: 9781760292690
Category :
Languages : en
Pages : 424
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Book Description
Every bullet tells a story - Detective Harry Bosch searches for a killer who thinks he's been safe for twenty years.
Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
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Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
