Speech recognition algorithms may also have racial bias
As it turns out, algorithms that are trained on data that’s already subject to human biases can readily recapitulate them, as we’ve seen in places like the banking and judicial systems. Other algorithms have just turned out to be not especially good.
Now, researchers at Stanford have identified another area with potential issues: the speech-recognition algorithms that do everything from basic transcription to letting our phones fulfill our requests. These algorithms seem to have more issues with the speech patterns used by African Americans, although there’s a chance that geography plays a part, too.