Article Excerpt: Researchers from MIT acknowledged that many machine-learning models were created using skewed data, causing them to produce uneven results… Using the deep metric learning technique, researchers trained the neural network to recognize photos that are similar and different with regard to facial recognition and skin tone. During this process, researchers uncovered more information about why the previous models produced unfair results. They found that two people with a lighter skin tone were more likely to be differentiated than two people with a darker skin tone. Also, if models are trained taking into consideration the majority group instead of the minority group, it would cause bias.
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Article Source: Health IT Analytics