Tweeted By @math_rachel

Another example: "ML software trained didn’t just mirror those biases, it amplified them. If a photo set generally associated women with cooking, software trained by studying those photos and their labels created an even stronger association." https://t.co/h1pByDrBkY

— Rachel Thomas (@math_rachel) May 1, 2019