'Alexa … was that a condescending remark?'

Tuesday, February 18, 2020
 | 
Bob Kellogg (OneNewsNow.com)

AI technology (Alexa)Seemingly mirroring George Orwell's novel "1984," researchers at a Boston university are developing technology they say will uncover "implicit bias" in the workplace and then report the guilty party.

According to a Breitbart report, researchers at Northeastern University say a hi-tech device would be used to report workers who don't value the perspectives of female colleagues. According to one of the researchers, it could be a device similar to Amazon Alexa sitting on a table and listening to team members working together to solve a problem.

Proponents of the technology declare it will ensure "inclusion" in the workplace – a favorite term of today's leftists. In contrast, John Whitehead of The Rutherford Institute argues that such a device would destroy communication in the workplace.

"In terms of 'implicit bias' in the workplace, I would say it's going to do away with any kind of joviality [or] joking … you won't be able to joke," he predicts. "If you just make a slip of speech, you can be accused of bias and you could lose your job, depending on who your supervisor is."

Whitehead, John (Rutherford Institute)Whitehead goes on to say it would be significantly subjective to rely on machines to determine what and what doesn't constitute bias.

"You're [going to be] having artificial intelligence determining what is bias – and it could be anything," he explains. "It could be whether you question someone's gender, race, or again, any kind of humor can be bias now. And you're going to have a machine determining that? And that's the scary thing."

Northeastern University reports that the two researchers conducting the project have received a $1.5 million, three-year grant from the U.S. Army Research Laboratory to begin the study. One of the researchers claims the grant will allow the team to develop a device to detect both verbal and nonverbal cues, and eventually physiological signals, shared between members of a work team.

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