AI safety filters create a 'shadow' that stops models from using facts they already know, making them dumber even when they have the right answer.
Safety layers don't just block bad content; they create 'pressure' that makes AI models dilute or hedge their answers even when using verified, high-quality evidence. This suggests that as we make AI safer, we are unintentionally making it significantly less capable of utilizing the information it finds.
Guardrail Shadow Effects in Retrieval-Augmented Systems (Safety Layers Distorting RAG Outputs)
SSRN · 6326519
Retrieval-Augmented Generation (RAG) systems are designed to anchor large language models in verified evidence. In controlled settings, retrieval improves factual accuracy and reduces hallucination risk. In production environments, however, an under-examined failure mode is emerging. Stacked safety layers surrounding the generation stage can subtly distort how retrieved evidence is expressed, resulting in answers that remain compliant but become diluted, hedged, or operationally weakened. This p