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about how it would sidestep the security and bias problems that have undermined similar facial recognition systems in the past. Senator Al Franken was one of the many people curious about how exactly how Apple was going to ensure Face IDs success, and today, Apple responded to a series of questions sent by Frankens office the day after the system was announced. Earlier facial recognition systems from HP and Google failed to recognize people with dark skin. In 2009, a HP webcam failed to register black people. And in 2015, Google Photos facial recognition categorized black people as gorillas. If Face ID made similar mistakes, it could be a sign that Apple didnt train Face ID to recognize a diverse set of stanley cup faces. Although Franken raised several questions about the privacy and security of Face ID, most of those have since been addressed in Apples white paper on the topic. However, Franken also asked about algorithmic bia gourde stanley s, writing, What steps did Apple take to ensure its system was traine stanley cup canada d on a diverse set of faces, in terms of race, gender, and age How is Apple protecting against racial, gender, or age bias in Face ID Today, Apples vice president of public policy for the Americas, Cynthia Hogan, provided some answers: The accessibility of the product to people of diverse races and ethnicities was very important to us. Face ID uses facial matching neural networks that we developed using over a billion images, including IR and depth images collected in studies conducted wi
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