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18min chapter
159: Exploring Bias in AI
Alter Everything
Combating Bias in AI Development
The chapter explores the challenges of bias in AI systems, focusing on historical data representation and the need for diverse training data to prevent discrimination. It discusses real-world examples, emphasizing the importance of inclusivity and diverse representation in technology development. The speakers underscore the significance of intentional inclusivity, diverse perspectives, and continuous learning to address biases in AI development.
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highlights
Listen to the best highlights from the podcasts you love and dive into the full episode