In this episode of "A Beginner's Guide to AI," Professor GePhardT takes listeners on an enlightening journey into the world of biases in AI. We explore the origins of these biases, their societal and ethical implications, and the innovative strategies employed to mitigate them. From defining AI bias to examining real-world case studies, particularly in healthcare, this episode provides a comprehensive understanding of the challenges and solutions in creating fair and equitable AI systems. The discussion delves deep into fairness-aware machine learning and the critical role of data audits, offering listeners a nuanced perspective on this pressing issue in the AI community.

This podcast was generated with the help of ChatGPT and Claude 2. We do fact check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads.

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