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The Impact of Bias in Training AI Models
This chapter discusses the repercussions of biases in AI models, showcasing distorted outputs like racially diverse Nazis generated due to skewed data. The conversations revolve around balancing accurate representation and idealized versions in AI systems, with references to '1984'. The chapter also explores the challenges of diversity, representation, and the concentration of AI power in the hands of a few tech giants.