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MIT Hopes to ‘De-Bias’ Face Detection AI

via Engadget

There have been efforts to fight racist biases in face detection systems through better training data, but that usually involves a human manually supplying the new material. MIT’s CSAIL might have a better approach. It’s developing an algorithm that automatically ‘de-biases’ the training material for face detection AI, ensuring that it accommodates a wider range of humans. The code can scan a data set, understand the set’s biases, and promptly resample it to ensure better representation for people regardless of skin color.

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Please vote for Limor Fried (Ladyada) for Red Hat’s Women in Open Source Award
Our Ladyada (Limor Fried) was nominated for Red Hat’s Women in Open Source Award! Please vote for her! Visit: https://www.redhat.com/en/about/women-in-open-source

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