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.
