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Built In Bias: The Human Fingerprints on Artificial Intelligence, by George Matwijec – Brown Pelican Society of Lousiana

Built In Bias: The Human Fingerprints on Artificial Intelligence, by George Matwijec

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Image via Picryl. A black and white photo of a finger print. ... This image is from Pixabay and was published prior to July 2017 under the Creative Commons CC0 1.0 Universal Public Domain Dedication license

By George Matwijec, American Thinker, June 6, 2025

George Matwijec is an adjunct philosophy teacher at Immaculata University who specializes in teaching knowledge and logic.  He is the author of a book entitled My Interview with AI.  He can be reached at iteacher101.com.

 

A 42-year-old man, Robert Julian-Borchak Williams, was working in his front yard when the police came and arrested him for theft.  He was identified by facial recognition software.

When he arrived at the police station, the pictures did not match the appearance of the man standing in front of them.

Thirty hours later, he was released, as the police finally admitted that the arrest had been made due to faulty facial identification by artificial intelligence.  Upon further research, it was revealed that the facial identification model was trained on mostly white faces, thus making it more prone to error in identifying black Americans.  This is a clear example of bias in A.I.

Given this case, the question arises: In what other areas is artificial intelligence biased? …

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