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Who Should Stop Unethical A.I.?


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In computer science, the main outlets for peer-reviewed research are not journals but conferences, where accepted papers are presented in the form of talks or posters. In June, 2019, at a large artificial-intelligence conference in Long Beach, California, called Computer Vision and Pattern Recognition, I stopped to look at a poster for a project called Speech2Face. Using machine learning, researchers had developed an algorithm that generated images of faces from recordings of speech. A neat idea, I thought, but one with unimpressive results: at best, the faces matched the speakers’ sex, age, and ethnicity attributes that a casual listener might guess. That December, I saw a similar poster at another large A.I. conference, Neural Information Processing Systems (Neur ....

United States , Long Beach , British Columbia , New York , Michael Kearns , Katherine Heller , Barack Obama , Subbarao Kambhampati , Iason Gabriel , Eric Horvitz , Rick Astley , Amrita Singh , Katie Shilton , Yann Lecun , Alex Hanna , Carnegie Mellon University , Microsoft Research Labs , University Of Maryland , Arizona State University , Human Services , Association For The Advancement Of Artificial Intelligence , Department Of Health , University Of Pennsylvania , Duke University , Computer Vision , Pattern Recognition ,