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Us and Them: The Science of IdentityDemocrat and Republican. Meat Eaters and Vegetarians. Black and White. As human beings we sort ourselves into groups. And once we identify ourselves as a member of a particular group say, Red Sox fans we tend to feel more comfortable with others of our own kind, rather than, say, Yankees fans. Yet we all belong to multiple groups at the same time one might be a woman, a mother, an American, a violinist. How do we decide which identities matter and why
Democrat and Republican. Meat Eaters and Vegetarians. Black and White. As human beings we sort ourselves into groups. And once we identify ourselves as a member of a particular group--say, Red Sox fans--we tend to feel more comfortable with others of our own kind, rather than, say, Yankees fans. Yet we all belong to multiple groups at the same time--one might be a woman, a mother, an American, a violinist. How do we decide which identities matter and why they matter so much? And what makes us willing to die for, or to kill for, a religion, a nation, or a race?In this award-winning book, David Berreby describes how twenty-first-century science is addressing these age-old questions. Ably linking neuroscience, social psychology, anthropology, and other fields, Us and Them investigates humanity's "tribal mind" and how this alters our thoughts, affects our health, and is manipulated for good and ill. From the medical effects of stress to the rhetoric of politics, our perceptions of group identity affect every part of our lives. Science, Berreby argues, shows how this part of human nature is both unexpectedly important and surprisingly misunderstood.
Humans need our tribal sense--it tells us who we are, how we should behave, and links us to others as well as the past and future. Some condemn this instinct, while others celebrate it. Berreby offers in Us and Them a third alternative: how we can accept and understand our inescapable tribal mind.
" A] brave book. . . . Berreby's quest is to understand what he sees as a fundamental human urge to classify and identify with 'human kinds.'"--Henry Gee, Scientific American
Binding Type: Paperback
Publisher: University of Chicago Press
Published: 10/01/2008
ISBN: 9780226044651
Pages: 396
Weight: 1.18lbs
Size: 8.90h x 6.04w x 0.83d
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4.9 ★★★★★
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Product Reviews
★★★★★ 2
Just linear
Format: Paperback
I appreciate that it helps to organize the chaos of information, but I just used the template verbatim with my manager and it did not go very well. He said this linear approach does not work anymore with high-level corporate audiences. They want to cut right to the chase and start to dig into the deep details. This layout with simple images, even if you just pull away the map and anchor slides, makes the storytelling too much like a story, not giving enough credit to the speed at which certain audiences can and do process data on a slide. It was an interesting exercise and I still think this linear layout works in some cases. Just not if you are trying to communicate business case or other C-suite type of information.
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Reviewed in the United States on March 4, 2021
★★★★★ 5
Excellent AI security book
Format: Paperback
A necessary book for those who in work in the AI Security field. It is easy to read and easy to follow along with practice labs. The author did a good job incorporating the breadth of AI threats.
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Reviewed in the United States on January 10, 2026
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
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Reviewed in the United States on January 16, 2026
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security.
This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation.
One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered.
If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Reviewed in the United States on August 12, 2024
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026