When we say that "an algorithm is biased" we usually mean, "biased people made an algorithm." This explains why so much machine learning prediction turns into phrenology.
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Researchers with phrenological delusions ask machines to find statistical correlates of personalities or emotions, and machines dutifully provides them. It's high-stakes, machine-human collaborative apophenia, detecting patterns where none exist.
Regrettably, this junk science gets published in respected journals. In 2017, @nature published a study by Stanford's Michal Kosinski claiming that machine learning could detect the facial correlates of homosexuality, creating an alleged AI gaydar.
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Unsurprisingly, Kosinski's study spectacularly failed to replicate. But as is so often the case, the blockbuster finding gets all the press, the careful replication work that calls it into doubt is roundly ignored.
Kosinski hasn't given up on AI phrenology. His lab's latest paper (published by Nature...again!) claims that he can detect political affiliation from social media photos.
What his system is most likely detecting is certain conventions in poses and expressions that are used in different political subcultures. Resting Karen face, basically.
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Unfortunately, this claim is being credulously reported in the tech press as true, even as the writer notes that this ML system barely outperforms random chance.
Scientific racism has been with us for centuries. It's enjoying a renaissance today, driven in part by the neophrenologists of the ML world. They are the modern descendants of the caliper-wielding eugenicists of yore.
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To understand the genomic science that refutes all of this nonsense, you can read @AdamRutherford's brilliant, short, witty, vastly informative book HOW TO ARGUE WITH A RACIST. You'll be glad you did.
With the deplatforming of forums where trumpists and right-wing figures congregate, there's a lot of chatter about whether and when private entities have the right to remove speech, and what obligations come with scale.
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The most important - and overlooked - area of this discourse is the role that monopoly plays, and the role that anti-monopoly enforcement could play.
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In short, the fact that being removed from Twitter and the app stores and Facebook and Amazon is so devastating is best addressed by weakening those companies by spreading out our digital life onto lots of platforms.
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The Democrats are at least two parties. The progressive wing of the party (which is by no means unified) and the finance wing of the party, which is also the party leadership.
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During the leadership race, the progressive wing was represented by @SenSanders and @SenWarren; the former wants to minimize the role of markets in our lives, the latter wants to redeem markets by regulating them. It's a distinction with a difference, but I donated to both.
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Both wings of the party have prominent representatives in Congress; Sandersism are most visibly associated with @AOC (whom I donated to) and Warrenism is embodied by @RepKatiePorter (likewise), who was also one of Warren's law school proteges.
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1949 - Paul Robeson was scheduled to sing in Peekskill, New York when a riot was staged by hundreds of members of the Ku Klux Klan, American Legion, and New York State Troopers.
It was later revealed that the local police helped coordinate the mass assault on African-American attendees. The violence, it was said, was “tolerated – if not organized – by local police and FBI.”
Some of the white mob chanted, “We’re Hitler’s boys. We’re going to get Robeson. Lynch Robeson!” Among them was the police chief’s son.