Facial recognition software is biased towards white men, researcher finds


New research out of MIT’s Media Lab is underscoring what other experts have reported or at least suspected before: facial recognition technology is subject to biases based on the data sets provided and the conditions in which algorithms are created.

Joy Buolamwini, a researcher at the MIT Media Lab, recently built a dataset of 1,270 faces, using the faces of politicians, selected based on their country’s rankings for gender parity (in other words, having more females in office). Buolamwini then tested the accuracy of three facial recognition systems: those made by Microsoft, IBM, and Megvii of China. The results, which were originally reported in The New York Times, showed inaccuracies in gender identification dependent on a person’s...

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via The Verge - Tech Posts "http://ift.tt/2EXCYnI"

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