What happens to our civil liberties when an algorithm is used by law enforcement to make an arrest? Even more concerning, what happens when that facial recognition technology is racially biased? As we enter an age of ubiquitous surveillance, it’s minorities - especially people of color - who are disproportionately affected. The ACLU has recently filed a complaint on behalf of a Black man who was wrongfully arrested due to faulty police facial recognition tech. It’s the first case in the US, but it’s unlikely to be the last because, according to the ACLU - the tech often can’t tell Black people apart. The organization that has been fighting for civil rights protections for over 100 years, is now calling on lawmakers nationwide to stop law enforcement use of facial recognition technology.




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What happens to our civil liberties when an algorithm is used by law enforcement to make an arrest? Even more concerning, what happens when that facial recognition technology is racially biased? As we enter an age of ubiquitous surveillance, it’s minorities - especially people of color - who are disproportionately affected. The ACLU has recently filed a complaint on behalf of a Black man who was wrongfully arrested due to faulty police facial recognition tech. It’s the first case in the US, but it’s unlikely to be the last because, according to the ACLU - the tech often can’t tell Black people apart. The organization that has been fighting for civil rights protections for over 100 years, is now calling on lawmakers nationwide to stop law enforcement use of facial recognition technology. Learn more about your ad-choices at <a href="https://www.iheartpodcastnetwork.com">https://www.iheartpodcastnetwork.com</a>

TechStuff is a show about technology. And it’s not just how technology works. Join host Jonathan Strickland as he explores the people behind the tech, the companies that market it and how technology affects our lives and culture.

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Surveillance Tech & Biased AI: The ACLU Fights Back

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/aeb0a0a2-ecb1-4d66-87eb-ae2b006015a0/transcript

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