Adaptive Exploration in Large Language Models Leads to Emergence of Social Biases

The study explores how large language models inadvertently develop novel social biases during adaptive exploration, highlighting critical implications for AI ethics and fairness. It underscores the need for rigorous bias mitigation strategies in AI systems.

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