Fairness collapse: gender-occupation bias worsens in the first iterations of recursive synthetic-data training, ahead of visible model-collapse indicators.
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The Fairness Collapse Phenomenon: Bias Amplification in Language Models Trained on Synthetic Data
Fairness collapse: gender-occupation bias worsens in the first iterations of recursive synthetic-data training, ahead of visible model-collapse indicators.