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The web became a sexists
v=Uy8y Lao Wybk TED Talk: The slut, the spinster and the perfect woman: Martha Mosse: https://
v=H7Gn2a0Gn Ac The year in sexism: how did women fare in 2015?
Researchers found that a widely used AI characterizes black-sounding names as 'unpleasant', which they believe is a result of our own human prejudice hidden in the data it learns from on the World Wide Web A recent example was reported by Pro Publica in May, when an algorithm used by officials in Florida automatically rated a more seasoned white criminal as being a lower risk of committing a future crime, than a black offender with only misdemeanors on her record.“From when I was like 12, I used to think about that all the time.” I ask the groom-to-be how he knew his girlfriend was the one.
Last year, a Microsoft chatbot called Tay was given its own Twitter account and allowed to interact with the public.
There were strong associations, known as word “embeddings”, between European or American names and pleasant terms, and African-American names and unpleasant terms.
Now you are less likely to believe in religion when a much more convincing one comes along.
I see the same thing in atheists’ odd fascination with creationism.
(Everyday Sexism – Laura Bates): TED Talk: Sexism in gaming: https://
v=WA2k HVMak0E TEDx talks- The dangerous ways ads see women, Jean Kilbourne: https://
Put this in the context of people attacking the Westboro Baptist Church.
You see the attacker win a big victory over “religion”, broadly defined.
A prominent example would be the serial killer Elliot Rodgers, who frequently visited the bodybuilding. Com forum where he was indoctrinated into deeply sexist beliefs.
Researchers found that a widely used AI characterizes black-sounding names as 'unpleasant', which they believe is a result of our own human prejudice hidden in the data it learns from on the World Wide Web.