Comparing Explanations is Not Enough, Explain the Change: New Standards are Needed to Explain Behavioral Shifts in Large Language Models
The episode discusses a paper advocating for new standards to explain behavioral shifts in Large Language Models (LLMs). Hosts critique current methods for failing to capture the functional change between states. They introduce the XAI framework as a verifiable tool, moving beyond symptom description to provide auditable proof of the causal chain, ensuring transparency and regulatory compliance.