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DAILYKENN.com -- Some colleges and universities are utilizing artificial intelligence to identify "hate speech" offenders. (Note that "hate speech" is the left's pretense to bypass the First Amendment and censor us through public shaming.)
Is anyone really surprised to discover "offenders" are more likely to be black students?
And how does the left explain this contradiction to cultural Marxist dogma? They pretend the study itself it tainted with internal bias.
The results are from a study performed at Cornell University. The report is from campusreform.com ▼
"The results show evidence of systematic racial bias in all datasets, as classifiers trained on them tend to predict that tweets written in African-American English are abusive at substantially higher rates. If these abusive language detection systems are used in the field they will, therefore, have a disproportionate negative impact on African-American social media users," the abstract continues.
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