Stanford researchers find that automated speech recognition is more likely to misinterpret black speakers
Tests by Stanford researchers show that five leading speech recognition programs make twice as many errors with African American speakers as with whites.
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The disparity likely occurs because such technologies are based on machine learning systems that rely heavily on databases of English as spoken by white Americans.
