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Biases in AI Language Models
This chapter explores the pervasive biases found in large language models, particularly how reinforcement learning influences these biases. It highlights disparities in responses to different dialects, emphasizing significant implications for justice and social interaction. The conversation raises critical concerns about the integration of AI in legal systems and the broader impacts of AI on the perception of work and language.