For social media companies. From Adam Sabes at Campus Reform:
The D-Lab and the Anti-Defamation League are working to make it possible to create a “scalable detection” system for online hate speech. The system would utilize artificial intelligence, machine learning, natural language processing, as well as humans to sift through massive amounts of online data.
Developers of the tool predict that major social media platforms like Facebook and Twitter will use the technology, according to the article.
Words that the article states are associated with hate speech” are “white,” “black,” “women,” “hate,” “Jew,” and even words such as “old,” “problem,” “country,” and more. Claudia von Vacano, executive director of the D-Lab, reiterated that it is important to distinguish between “hate speech” (speech directed at people of specific classes) and speech that is just offensive (speech directed at individuals without regard to any specific class), according to the article. More.
Reality check: What do we want to bet that what they are censoring will not turn out to be hate but political views not popular at Berkeley?
See also: AI Hype Countdown 2018 #5: AI Can Fight Hate Speech! Computer science prof: AI can carry out its programmers’ biases and that’s all
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