Here's why Bloomberg embodies everything wrong with the US plutocratic political system: economist

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Former Mayor Bloomberg is portrayed by the media and his campaign as a pragmatic, non-ideological centrist and an experienced manager who can get things done. Indeed, his campaign theme is “Mike Will Get It Done.” Columnists and pundits have emphasized a number of themes used to support Bloomberg. He has been characterized as non-ideological, a centrist who can appeal to swing voters such as moderate Democrats, Independents and suburban women, a philanthropist who gives to “good causes,” and an experienced executive who has the resources needed to win. Thomas Friedman, a columnist with the NY Times, summarized his endorsement because Bloomberg stresses “…national unity, personal integrity and a willingness to pursue bipartisanship whenever the other side is ready…. And this candidate knows how to get stuff done.”

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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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