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Author: Jennifer L. Eberhardt, PhD
Publisher: Penguin
ISBN: 0735224943
Category : Social Science
Languages : en
Pages : 368
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Book Description
"Poignant....important and illuminating."—The New York Times Book Review "Groundbreaking."—Bryan Stevenson, New York Times bestselling author of Just Mercy From one of the world’s leading experts on unconscious racial bias come stories, science, and strategies to address one of the central controversies of our time How do we talk about bias? How do we address racial disparities and inequities? What role do our institutions play in creating, maintaining, and magnifying those inequities? What role do we play? With a perspective that is at once scientific, investigative, and informed by personal experience, Dr. Jennifer Eberhardt offers us the language and courage we need to face one of the biggest and most troubling issues of our time. She exposes racial bias at all levels of society—in our neighborhoods, schools, workplaces, and criminal justice system. Yet she also offers us tools to address it. Eberhardt shows us how we can be vulnerable to bias but not doomed to live under its grip. Racial bias is a problem that we all have a role to play in solving.
Author: Jennifer L. Eberhardt, PhD
Publisher: Penguin
ISBN: 0735224943
Category : Social Science
Languages : en
Pages : 368
Get Book Here
Book Description
"Poignant....important and illuminating."—The New York Times Book Review "Groundbreaking."—Bryan Stevenson, New York Times bestselling author of Just Mercy From one of the world’s leading experts on unconscious racial bias come stories, science, and strategies to address one of the central controversies of our time How do we talk about bias? How do we address racial disparities and inequities? What role do our institutions play in creating, maintaining, and magnifying those inequities? What role do we play? With a perspective that is at once scientific, investigative, and informed by personal experience, Dr. Jennifer Eberhardt offers us the language and courage we need to face one of the biggest and most troubling issues of our time. She exposes racial bias at all levels of society—in our neighborhoods, schools, workplaces, and criminal justice system. Yet she also offers us tools to address it. Eberhardt shows us how we can be vulnerable to bias but not doomed to live under its grip. Racial bias is a problem that we all have a role to play in solving.
Author: Bernard Goldberg
Publisher: Regnery Publishing
ISBN: 1621573117
Category : Political Science
Languages : en
Pages : 250
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Book Description
In his nearly thirty years at CBS News, Emmy Award–winner Bernard Goldberg earned a reputation as one of the preeminent reporters in the television news business. When he looked at his own industry, however, he saw that the media far too often ignored their primary mission: objective, disinterested reporting. Again and again he saw that they slanted the news to the left. For years Goldberg appealed to reporters, producers, and network executives for more balanced reporting, but no one listened. The liberal bias continued. In this classic number one New York Times bestseller, Goldberg blew the whistle on the news business, showing exactly how the media slant their coverage while insisting they’re just reporting the facts.
Author: Joan C. Williams
Publisher: Harvard Business Press
ISBN: 1647822734
Category : Business & Economics
Languages : en
Pages : 268
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Book Description
A cutting-edge, relentless, objective approach to inclusion. Companies spend billions of dollars annually on diversity efforts with remarkably few results. Too often diversity efforts rest on the assumption that all that's needed is an earnest conversation about "privilege." That's not enough. To truly make progress we need to stop celebrating the problem and instead take effective steps to solve it. In Bias Interrupted, Joan C. Williams shows how it's done, and, reassuringly, how easy it is to get started. One of today's preeminent voices on inclusive workplaces, Williams explains how leaders can use standard business tools—data, metrics, and persistence—to interrupt the bias that is continually transmitted through formal systems like performance appraisals, as well as the informal systems that control access to career-enhancing opportunities. The book presents fresh evidence, based on Williams's exhaustive research and work with companies, that interrupting bias helps every group—including white men. Comprehensive, though compact and straightforward, Bias Interrupted delivers real, practical value in an efficient and accessible manner to an audience that has never needed it more. It's possible to interrupt bias. Here's where you start.
Author: Louise Derman-Sparks
Publisher:
ISBN: 9781938113574
Category :
Languages : en
Pages : 224
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Book Description
Anti-bias education begins with you! Become a skilled anti-bias teacher with this practical guidance to confronting and eliminating barriers.
Author: Keith E. Stanovich
Publisher: MIT Press
ISBN: 0262045753
Category : Psychology
Languages : en
Pages : 257
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Book Description
Why we don't live in a post-truth society but rather a myside society: what science tells us about the bias that poisons our politics. In The Bias That Divides Us, psychologist Keith Stanovich argues provocatively that we don't live in a post-truth society, as has been claimed, but rather a myside society. Our problem is not that we are unable to value and respect truth and facts, but that we are unable to agree on commonly accepted truth and facts. We believe that our side knows the truth. Post-truth? That describes the other side. The inevitable result is political polarization. Stanovich shows what science can tell us about myside bias: how common it is, how to avoid it, and what purposes it serves. Stanovich explains that although myside bias is ubiquitous, it is an outlier among cognitive biases. It is unpredictable. Intelligence does not inoculate against it, and myside bias in one domain is not a good indicator of bias shown in any other domain. Stanovich argues that because of its outlier status, myside bias creates a true blind spot among the cognitive elite--those who are high in intelligence, executive functioning, or other valued psychological dispositions. They may consider themselves unbiased and purely rational in their thinking, but in fact they are just as biased as everyone else. Stanovich investigates how this bias blind spot contributes to our current ideologically polarized politics, connecting it to another recent trend: the decline of trust in university research as a disinterested arbiter.
Author: Heike Bruch
Publisher: Harvard Business Press
ISBN: 9781591394082
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
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Author: Tiffany Jana
Publisher: Berrett-Koehler Publishers
ISBN: 1626567263
Category : Business & Economics
Languages : en
Pages : 142
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Book Description
The authors use vivid stories and activities to uncover hidden biases. --
Author: Pamela Fuller
Publisher: Simon and Schuster
ISBN: 1982144327
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
A “profound” (Cynt Marshall, CEO of the Dallas Mavericks), timely, must-have guide to understanding and overcoming bias in the workplace from the experts at FranklinCovey. Unconscious bias affects everyone. It can look like the disappointment of an HR professional when a candidate for a new position asks about maternity leave. It can look like preferring the application of an Ivy League graduate over one from a state school. It can look like assuming a man is more entitled to speak in a meeting than his female junior colleague. Ideal for every manager who wants to understand and move past their own preconceived ideas, The Leader’s Guide to Unconscious Bias is a “must-read” (Sylvia Acevedo, CEO, rocket scientist, STEM leader, and author) that explains that bias is the result of mental shortcuts, our likes and dislikes, and is a natural part of the human condition. And what we assume about each other and how we interact with one another has vast effects on our organizational success—especially in the workplace. This book teaches you how to overcome unconscious bias and provides more than thirty unique tools, such as a prep worksheet and a list of ways to reframe your unconscious thoughts. According to the experts at FranklinCovey, your workplace can achieve its highest performance rate once you start to overcome your biases and allow your employees to be whole people. By recognizing bias, emphasizing empathy and curiosity, and making true understanding a priority in the workplace, we can unlock the potential of every person we encounter.
Author: Mahzarin R. Banaji
Publisher: Bantam
ISBN: 0345528433
Category : Business & Economics
Languages : en
Pages : 274
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Book Description
“Accessible and authoritative . . . While we may not have much power to eradicate our own prejudices, we can counteract them. The first step is to turn a hidden bias into a visible one. . . . What if we’re not the magnanimous people we think we are?”—The Washington Post I know my own mind. I am able to assess others in a fair and accurate way. These self-perceptions are challenged by leading psychologists Mahzarin R. Banaji and Anthony G. Greenwald as they explore the hidden biases we all carry from a lifetime of exposure to cultural attitudes about age, gender, race, ethnicity, religion, social class, sexuality, disability status, and nationality. “Blindspot” is the authors’ metaphor for the portion of the mind that houses hidden biases. Writing with simplicity and verve, Banaji and Greenwald question the extent to which our perceptions of social groups—without our awareness or conscious control—shape our likes and dislikes and our judgments about people’s character, abilities, and potential. In Blindspot, the authors reveal hidden biases based on their experience with the Implicit Association Test, a method that has revolutionized the way scientists learn about the human mind and that gives us a glimpse into what lies within the metaphoric blindspot. The title’s “good people” are those of us who strive to align our behavior with our intentions. The aim of Blindspot is to explain the science in plain enough language to help well-intentioned people achieve that alignment. By gaining awareness, we can adapt beliefs and behavior and “outsmart the machine” in our heads so we can be fairer to those around us. Venturing into this book is an invitation to understand our own minds. Brilliant, authoritative, and utterly accessible, Blindspot is a book that will challenge and change readers for years to come. Praise for Blindspot “Conversational . . . easy to read, and best of all, it has the potential, at least, to change the way you think about yourself.”—Leonard Mlodinow, The New York Review of Books “Banaji and Greenwald deserve a major award for writing such a lively and engaging book that conveys an important message: Mental processes that we are not aware of can affect what we think and what we do. Blindspot is one of the most illuminating books ever written on this topic.”—Elizabeth F. Loftus, Ph.D., distinguished professor, University of California, Irvine; past president, Association for Psychological Science; author of Eyewitness Testimony
Author: Tobias Baer
Publisher: Apress
ISBN: 1484248856
Category : Computers
Languages : en
Pages : 240
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Book Description
Are algorithms friend or foe? The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You’ll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias. What You'll Learn Study the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifact Understand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage them Appreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solutionBe familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic bias Who This Book is For Business executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias
