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Hate speech on platforms like Twitter and Facebook will be tackled by a combination of artificial intelligence (AI) and human reviewers. Big Tech executives have claimed that machine learning, which already monitors the torrent of content uploaded 24-7, will eventually be able to flag the vast majority of hateful or violent speech.Two new studies, however, conclude that AI trained to find hate speech may actually be boosting racial bias.Researchers in one study discovered that leading AI models for processing hate speech were one and a half times more likely to flag tweets as offensive or hateful when they were written by African-Americans, and 2.2 times more likely to flag those written in the variation known as African-American English -- commonly used by black people in the U.S.
Is this an issue of word-for-word identical content being flagged differently or of users talking about different topics and using different vocabularies?