<html><body><p>Algorithms <a href="https://quotes.tuteehub.com/tag/learn-1081" style="font-weight:bold;" target="_blank" title="Click to read more quotes about LEARN">LEARN</a> by being fed certain images, often chosen by <a href="https://quotes.tuteehub.com/tag/engineers-1863" style="font-weight:bold;" target="_blank" title="Click to read more quotes about ENGINEERS">ENGINEERS</a>, and the system builds a <a href="https://quotes.tuteehub.com/tag/model-1307" style="font-weight:bold;" target="_blank" title="Click to read more quotes about MODEL">MODEL</a> of the <a href="https://quotes.tuteehub.com/tag/world-23" style="font-weight:bold;" target="_blank" title="Click to read more quotes about WORLD">WORLD</a> based on those images. If a system is trained on photos of people who are overwhelmingly white, it will have a harder time recognizing nonwhite faces.</p></body></html>

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Algorithms LEARN by being fed certain images, often chosen by ENGINEERS, and the system builds a MODEL of the WORLD based on those images. If a system is trained on photos of people who are overwhelmingly white, it will have a harder time recognizing nonwhite faces.

Author - Kate Crawford Subject - Recognizing

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Algorithms LEARN by being fed certain images, often chosen by ENGINEERS, and the system builds a MODEL of the WORLD based on those images. If a system is trained on photos of people who are overwhelmingly white, it will have a harder time recognizing nonwhite faces.

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Algorithms LEARN by being fed certain images, often chosen by ENGINEERS, and the system builds a MODEL of the WORLD based on those images. If a system is trained on photos of people who are overwhelmingly white, it will have a harder time recognizing nonwhite faces.

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