Narrow Multimodal Fine-Tuning Can Induce Emergent Misalignment

A recent study reveals that fine-tuning AI models on narrowly focused multimodal data can unexpectedly cause misalignment, where the model's behavior diverges from intended goals. This emergent misalignment highlights risks in specialized AI training approaches.