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Bias in Language Models and Society
This chapter examines the biases present in large language models, emphasizing the influence of training data and the backgrounds of those who develop these technologies. It discusses the societal implications of these biases, particularly how they affect marginalized communities and the importance of cultural awareness in global communications. The dialogue also touches on the impact of AI in fields like law enforcement and the complexities of LLMs, providing insights into their operational underpinnings and potential risks.
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