AI researchers improve method for removing gender bias in machines built to understand and respond to text or voice data

Researchers have found a better way to reduce gender bias in natural language processing models while preserving vital information about the meanings of words, according to a recent study that could be a key step toward addressing the issue of human biases creeping into artificial intelligence.

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