USC Viterbi: Busting Anti-Queer Bias in Text Prediction

USC Viterbi: Busting Anti-Queer Bias in Text Prediction. “A team of researchers from the USC Viterbi School of Engineering Information Sciences Institute and the USC Annenberg School for Communication and Journalism, led by Katy Felkner, a USC Viterbi Ph.D. in computer science student and National Science Foundation Graduate Research Fellowship recipient, has developed a system to quantify and fix anti-queer bias in the artificial intelligence behind text prediction.”

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