Narration-of-Thought scaffolds ethical reasoning at inference time

A new cs.AI paper introduces Narration-of-Thought as a scaffold for ethical reasoning in large language models. The method is aimed at defeasible cases, where new information can change the right answer.

The topic matters because AI safety is not only about refusing dangerous requests. Many real decisions require weighing competing values, uncertainty, and context that may evolve during a conversation.

The paper adds to research on inference-time structures that guide model reasoning without requiring full retraining.