Biden Admin Set to Make Significant Investment Into Artificial Intelligence to Detect ‘Microaggressions’

[Photo Credit: by Gage Skidmore]

According to federal spending records, the Biden administration is now reportedly planning to distribute more than $550,000 in grants to create an artificial intelligence model that can automatically identify “microaggressions” against woke orthodoxy on social media.

The University of Washington academics were given the money in March to work on developing technology that may be used to shield web users from discriminatory language and enforce political correct orthodoxy.

The project was sponsored by President Joe Biden’s $1.9 trillion American Rescue Plan.

The researchers have already gotten $132,000 in government support, and they anticipate receiving $550,436 in total over the following five years.

In order to identify implicit bias and microaggressions, which are typically described as slights that are offensive to members of disadvantaged groups, academics are building machine-learning algorithms that can examine social media posts.

Although it’s a wide category, prior study by the University of Washington project’s principal investigator indicates that even anything as mild as applauding meritocracy may qualify as a microaggression.

The research is being funded by the Biden administration at a time when the White House is being accused more frequently of attempting to stifle free expression online.

Although it accepts that they can be inadvertent and unconscious, the research’s description of microaggressions does not include instances of statements that would meet this definition. Yulia Tsvetkov, a professor of computer science, is in charge of the project.

She has written research that indicate the artificial intelligence model may recognize and suppress language that many would regard to be derogatory, such as remarks endorsing the notion of meritocracy.

The study is the most recent instance of the government becoming involved in the censorship of online content.

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