Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made …

If you like book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy here is the list of books you may also like

Buy this book on Amazon

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy similar books

Artificial Unintelligence: How Computers Misunderstand the World

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.

In Artificial Unintelligence, Meredith Broussard argues tha…
Buy this book on Amazon
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor

A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity

The State of Indiana denies one million applications for healthcare, foo…
Buy this book on Amazon
Unmasking AI: My Mission to Protect What Is Human in a World of Machines

“The conscience of the AI revolution” (Fortune) explains how we’ve arrived at an era of AI harms and oppression, and what we can do to avoid its pitfalls.

“Dr. Joy Buolamwini has been an essential figu…
Buy this book on Amazon
Algorithms of Oppression: How Search Engines Reinforce Racism

Run a Google search for "black girls" - what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are …
Buy this book on Amazon
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence

The hidden costs of artificial intelligence, from natural resources and labor to privacy, equality, and freedom

“Eloquent, clear and profound—this volume is a classic for our times. It draws our attent…
Buy this book on Amazon
Race After Technology: Abolitionist Tools for the New Jim Code

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity.

Benjamin argues…
Buy this book on Amazon
AI Ethics

An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.

Artificial intelligence powers Google's search …
Buy this book on Amazon
Galileo and the Science Deniers

A fresh interpretation of the life of Galileo Galilei, one of history’s greatest and most fascinating scientists, that sheds new light on his discoveries and how he was challenged by science deniers. …
Buy this book on Amazon
Data Feminism

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

Today, data science is a form of power. It has been used to expose injustice, improve …
Buy this book on Amazon
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't

Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair's breadth. He solidified his standing as the nation's foremost political forecaste…
Buy this book on Amazon
The Ethical Algorithm: The Science of Socially Aware Algorithm Design

Buy this book on Amazon
Algorithms to Live By: The Computer Science of Human Decisions

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind

A…
Buy this book on Amazon
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers

When was the last time you read a grand statement, accompanied by a large number, and wondered whether it could really be true? Statistics are vital in helping us tell stories - we see them in the pap…
Buy this book on Amazon
The Divide: American Injustice in the Age of the Wealth Gap

Over the last two decades, America has been falling deeper and deeper into a statistical mystery: Poverty goes up. Crime goes down. The prison population doubles. Fraud by the rich wipes out 40 percen…
Buy this book on Amazon
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

Foreword by Steven Pinker

Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast …
Buy this book on Amazon
The Art of Statistics: How to Learn from Data

In this "important and comprehensive" guide to statistical thinking ( New Yorker ), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems.

…
Buy this book on Amazon
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power

The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to pr…
Buy this book on Amazon
The Latinos of Asia: How Filipino Americans Break the Rules of Race

Is race only about the color of your skin?

In The Latinos of Asia, Anthony Christian Ocampo shows that what "color" you are depends largely on your social context. Filipino Americans, for example, hel…
Buy this book on Amazon
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and mis…
Buy this book on Amazon
Living in Data: A Citizen's Guide to a Better Information Future

Jer Thorp's analysis of the word "data" in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with "data," we find not only its…
Buy this book on Amazon