#性别歧视

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Sep 18
PapersPolicySelected78°10:18
Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations

This research provides a critical methodological framework for evaluating the true impact of safety training on large language models, showing that toxicity scores alone are insufficient to measure real-world harm.

arXiv: OpenAI@Sarah Wyer et al. (3)Source