Biden Admin Funds AI To Police Online Language
Report: Grants given to develop technologies that could be used to ‘protect’ online users from ‘discriminatory’ language and ‘microaggressions’
Steve Watson
Government spending records have revealed that the Biden Administration is dishing out more than half a million dollars in grants to fund the development of artificial intelligence that will censor language on social media in order to eliminate ‘microaggressions’.
The Washington Free Beacon reports that the funding was part of Biden’s $1.9 trillion ‘American Rescue Plan’ and was granted to researchers at the University of Washington in March to develop technologies that could be used to protect online users from ‘discriminatory’ language.
The Biden administration is set to spend over $500K on an AI that will detect and suppress “microagressions” on social media—and they have a frighteningly broad definition of what that means. New in @FreeBeacon from @PhilipECaldwell:https://t.co/Eeto3OPzg0
— Tim Rice (@timerice1) December 21, 2022
Judicial Watch president Tom Fitton compared the move to the Chinese Communist Party’s efforts to “censor speech unapproved by the state,” calling it a “project to make it easier for their leftist allies to censor speech.”
Biden Admin to Drop Half a Million on Artificial Intelligence That Detects Microaggressions on Social Media… https://t.co/vr3cF7DFur
— Tom Fitton (@TomFitton) December 21, 2022
The report notes that the researchers are developing machine-learning models that can analyze social media posts and ‘correct’ any language that could cause offence to ‘marginalized groups’.
Who are those groups? Basically anyone whose feelings are affected by hurty words.
The lead researcher, one professor Yulia Tsvetko, recently coauthored a study titled “Finding Microaggressions in the Wild,” which placed the so called microaggressions into subcategories, including the “myth” that “differences in treatment are due to one’s merit.”
Some of the examples of microaggressions she cites are statements like “Your mom is white, so it’s not like you’re really black,” and questions including “But where are you from, originally?”
The latter example is specifically relevant given a recent incident that garnered headlines:
The massive, truly earth shattering story of an 83-year-old white woman’s insensitive comments towards a black woman dominates UK headlines for a second day running. pic.twitter.com/GzS0WQyJu4
— Paul Joseph Watson (@PrisonPlanet) December 1, 2022
Tsvetkov was also recently behind an article that amplified the “prominence of positivity in #BlackLivesMatter tweets” throughout 2020.
Tsvetkov argued that narratives framing Black Lives Matter protesters as angry and negative were misleading because some tweets mentioned “hope, pride, and optimism”.
All of this comes amid the ongoing revelations into the FBI and the Biden administration basically being embedded in Twitter, policing information on the platform.
NEW – FBI on Twitter Files: “Conspiracy theorists and others are feeding the American public misinformation… to discredit the agency.”pic.twitter.com/2zpKxJaeSY
— Disclose.tv (@disclosetv) December 21, 2022
Yesterday we highlighted the ongoing efforts of Universities throughout the country police language and implement their own versions of Newspeak as a way of saving students from being offended by words.
Google has also developed a Newspeak ‘correction’ tool that corrects whatever you type if it deems it to be potentially ‘harmful’.
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(TLB) published this article from Summit News
Header featured image (edited) credit: Barbed wire/speech bubbles/Getty Images / Baac3nes
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