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AI and Racist Algorithms

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Manage episode 462619527 series 3618284
Content provided by Rodney Holt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rodney Holt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This podcast episode discusses the ethical implications of artificial intelligence (AI), specifically how algorithmic bias stemming from historical data perpetuates societal inequalities and racism. The speakers highlight how AI systems used in areas like policing and healthcare can disproportionately harm marginalized communities due to biased training data and a lack of transparency. They argue that addressing this requires a multifaceted approach, including diverse representation in AI development, rigorous bias testing, and a commitment to fairness. Ultimately, the discussion emphasizes the urgent need for societal change to ensure AI benefits everyone, not just a select few.

  continue reading

27 episodes

Artwork
iconShare
 
Manage episode 462619527 series 3618284
Content provided by Rodney Holt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rodney Holt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This podcast episode discusses the ethical implications of artificial intelligence (AI), specifically how algorithmic bias stemming from historical data perpetuates societal inequalities and racism. The speakers highlight how AI systems used in areas like policing and healthcare can disproportionately harm marginalized communities due to biased training data and a lack of transparency. They argue that addressing this requires a multifaceted approach, including diverse representation in AI development, rigorous bias testing, and a commitment to fairness. Ultimately, the discussion emphasizes the urgent need for societal change to ensure AI benefits everyone, not just a select few.

  continue reading

27 episodes

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