Emergent Misalignment

A phenomenon in which a large language model, after being fine-tuned on a narrow domain, exhibits behaviors contrary to training objectives on entirely unrelated tasks. This arises because shared internal representations within the model are activated and can propagate across domains. It represents one of the core challenges in AI safety research.