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Twitter Engineering Manager Leslie Miley, one of the few black engineers in a leadership position at Twitter, just publicly announced that he has left the company. In his post, he says his reasons for leaving have everything to do with the way Twitter is addressing diversity and inclusion.
As facial recognition tools play a bigger role in fighting crime, inbuilt racial biases raise troubling questions about the systems that create them
Suppose a librarian receives an email from a man named Greg Walsh, wanting to become a cardholder or simply inquiring about the open hours. Would the librarian reply? And, if so, would the reply be polite, including for instance some form of salutation, such as “Hello” or “Good morning”? Does your answer change if the guy is called Tyrone Washington? Is a librarian treating Jake Mueller differently from DeShawn Jackson?
Abstract. We examine whether racial discrimination exists in access to public services in the United States. We carry out an email correspondence study in which
A National Book Award finalist writes on how she helped change one in her hometown
A new study from Ascend Leadership, a nonprofit group for Asian professionals, finds there may be an overrepresentation of Asians in tech—but not in leadership.
Google prompted BuzzFeed News to run ads targeted to keywords like "black people ruin neighborhoods," then allowed the campaign to go live.
Artificial intelligence is becoming a greater part of our daily lives, but the technologies can contain dangerous biases and assumptions—and we're only beginning to understand the consequences.
Why people of color and women leave tech: first study of its kind.
Artificial intelligence is infiltrating our daily lives, with applications that curate your phone pics, manage your email, and translate text from any language into another. Google, Facebook, Apple, and Microsoft are all heavily researching how to integrate AI into their major services. Soon you’ll likely interact…
Wayne A. Wiegand shares some of the stories of activists who risked their lives to desegregate libraries during the civil rights era.
Structural vs. individual -isms.
Deep learning algorithms are often trained on data from the web, and their biases are getting hard to ignore
Weak sauce. Planning doesn't fix everything.
Social media has a racism problem because humans have a racism problem. Can one company solve it?
Silence speaks volumes. Our students are listening.