Facebook’s AI detects gender bias in text

In a technical paper published this week, Facebook researchers describe a framework that decomposes gender bias in text along several dimensions, which they used to annotate data sets and evaluate gender bias classifiers. If the experimental results are any indication, the team’s work might shed light on offensive language in terms of genderedness, and perhaps even control for gender bias in natural language processing (NLP) models.

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