Intel Sys. Identify ‘Hate Speech’ Find Minorities Worst Offenders!

[D2D]

From Xephula:

Researchers from the University of Cornell discovered that artificial intelligence systems designed to identify offensive “hate speech” flag comments purportedly made by minorities “at substantially higher rates” than remarks made by whites.
Several universities maintain artificial intelligence systems designed to monitor social media websites and report users who post “hate speech.” In a study published in May, researchers at Cornell discovered that systems “flag” tweets that likely come from black social media users more often, according to Campus Reform.
The study also revealed that “black-aligned tweets” are “sexist at almost twice the rate of white-aligned tweets.”


https://flagandcross.com/flashback-intel-systems-that-identify-hate-speech-find-minorities-are-worst-offenders/

[wvit1001]

Along with the possible oversampling of tweets from African Americans, the researchers believe that this type of machine discrimination lies in the human error of those who are doing the original annotating and classification from which the machine learns. 


https://www.campusreform.org/?ID=13560

[D2D]

Do you know the difference between "possible" and "actual?"

That in no way invalidates the study's findings!

[D2D]

Apparently not!