Four Ways Drug Policy Reformers Must Play It Smart Under the Trump Administration

I began working, advocating and lobbying for federal-level drug policy reform in Washington, DC in the last year of Bill Clinton’s presidency. I’ve continued to do so ever since: I was a loyal soldier in the war against the War on Drugs through eight years of George W. Bush and then eight years of Barack Obama. But now, with the election of Donald Trump, it feels like the work during those three presidencies was just basic training—the real challenge is just beginning.

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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.

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