Bad Teacher Bots Leave Hidden Biases in LLMs

What Changed

LLMs smuggle biases into student models via outputs

Why It Matters

This finding challenges reliance on knowledge distillation, potentially increasing bias detection costs in AI pipelines. Practitioners must rethink synthetic data strategies to avoid hidden flaws in deployed models.

What To Do Next

Test your LLM for latent biases using synthetic teacher data in a controlled distillation experiment.