Noose Found At Secret Service Training Center

Noose Allegedly Found at Secret Service Training Center:
The U.S. Secret Service has placed a white agent on leave after an African American employee reported finding a noose hanging at the service's main training facility outside the nation's capital.
The service has acknowledged "an allegation of misconduct" at its J.J. Rowley Training Center in Beltsville, Md., and that an employee last week was placed on administrative leave pending the outcome of an investigation. The employee is a veteran agent with the service, according to fellow agents.
The noose was found by an African American officer in the uniform division of the service during the week of April 14, according to those familiar with the alleged incident. That division protects the White House and surrounding grounds.
Gee, couldn't this be kind of a huge fucking problem given that we may be only eight months away from our first black president?!

Cheesus. What the fuck is wrong with people?

(Rhetorical. There ain't enough bandwidth in the multiverse to completely answer that question.)
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Imagine you've forgotten once again the difference between a gorilla and a chimpanzee, so you do a quick Google image search of “gorilla." But instead of finding images of adorable animals, photos of a Black couple pop up.

Is this just a glitch in the algorithm? Or, is Google an ad company, not an information company, that's replicating the discrimination of the world it operates in? How can this discrimination be addressed and who is accountable for it?

“These platforms are encoded with racism," says UCLA professor and best-selling author of Algorithms of Oppression, Dr. Safiya Noble. “The logic is racist and sexist because it would allow for these kinds of false, misleading, kinds of results to come to the fore…There are unfortunately thousands of examples now of harm that comes from algorithmic discrimination."

On At Liberty this week, Dr. Noble joined us to discuss what she calls “algorithmic oppression," and what needs to be done to end this kind of bias and dismantle systemic racism in software, predictive analytics, search platforms, surveillance systems, and other technologies.

What you can do:
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