Julia Angwin
Julia Angwin is a senior reporter at ProPublica. From 2000 to 2013, she was a reporter at The Wall Street Journal, where she led a privacy investigative team that was a finalist for a Pulitzer Prize in Explanatory Reporting in 2011 and won a Gerald Loeb Award in 2010.
Julia Angwin is a senior reporter at ProPublica. From 2000 to 2013, she was a reporter at The Wall Street Journal, where she led a privacy investigative team that was a finalist for a Pulitzer Prize in Explanatory Reporting in 2011 and won a Gerald Loeb Award in 2010. Her book "Dragnet Nation: A Quest for Privacy, Security and Freedom in a World of Relentless Surveillance," was published by Times Books in 2014, and was shortlisted for Best Business Book of the Year by the Financial Times.
Also in 2014, Julia was named reporter of the year by the Newswomenâs Club of New York. In 2003, she was on a team of reporters at The Wall Street Journal that was awarded the Pulitzer Prize in Explanatory Reporting for coverage of corporate corruption. She is also the author of âStealing MySpace: The Battle to Control the Most Popular Website in Americaâ (Random House, March 2009). She earned a B.A. in mathematics from the University of Chicago and an MBA from the Graduate School of Business at Columbia University.
To send her encrypted PGP e-mail, you can use the following public key: F292 E93A 86B3 1713 05A6 FE9F 85C9 09BB C664 D201 (0xC664D201)
Bias in Criminal Risk Scores Is Mathematically Inevitable, Researchers Say
ProPublica’s analysis of bias against black defendants in criminal risk scores has prompted research showing that the disparity can be addressed — if the algorithms focus on the fairness of outcomes.
Facebook Doesn’t Tell Users Everything It Really Knows About Them
The site shows users how Facebook categorizes them. It doesn’t reveal the data it is buying about their offline lives.
Facebook Says it Will Stop Allowing Some Advertisers to Exclude Users by Race
Facebook says it will build a system to prevent advertisers from buying credit, housing or employment ads that exclude viewers by race.
Facebook Lets Advertisers Exclude Users by Race
Facebook’s system allows advertisers to exclude black, Hispanic, and other “ethnic affinities” from seeing ads.
Google Has Quietly Dropped Ban on Personally Identifiable Web Tracking
Google is the latest tech company to drop the longstanding wall between anonymous online ad tracking and user’s names.
Breaking the Black Box: How Machines Learn to Be Racist
Artificial Intelligence is only as good as the patterns we teach it. To illustrate the sensitivity of AI systems, we built an AI engine that deduced synonyms from news articles published by different types of news organizations.
Breaking the Black Box: When Machines Learn by Experimenting on Us
As we enter the era of artificial intelligence, machines regularly conduct experiments on human behavior. Here’s a look at how software used by the New York Times and New York Post uses you to test their headlines.
When Algorithms Decide What You Pay
The phone you use, the computer you own and the ZIP code you live in can all be factors in what prices you see when shopping online. Welcome to the world of mass customization.
Breaking the Black Box: What Facebook Knows About You
We live in an era of increasing automation. But as machines make more decisions for us, it is increasingly important to understand the algorithms that produce their judgments.
Amazon Says It Puts Customers First. But Its Pricing Algorithm Doesn’t
Amazon bills itself as “Earth’s most customer-centric company.” Yet its algorithm is hiding the best deal from many customers.