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Claudia Rosas

Gender Bias in Artificial Intelligence application


As Artificial Intelligence algorithms rise in popularity, it becomes increasingly vital to recognize the social problems that they carry with them. AI is taking a role in perpetuating societal biases and stereotypes. More specifically, in the field of Natural Language Processing (NLP), models have proved to propagate and might even amplify gender bias. An NLP system has presented gender bias in different segments such as training data, resources (i.e. text corpora), etc.