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James Berry and Vera Klekovkina, “Bias and the Language of AI” is a discussion of how automatic speech recognition and automatic translation still have significant race and gender biases for humans, thus posing a question of how future service robots will understand all humans and how they will speak back to us. Will they automatically use a higher register language because of their subordinate positions as human servers? By examining how robots speak in current media representations, the speakers will reflect on how AI linguistic coding and processing can impact the evolution of natural languages as well as language acquisition and translation by humans.
Series sponsored by the University Personnel Development Committee (Research and Creative Activities Grant) and presented by the College of Letters and Science.