AI can describe human experiences but lacks experience in an actual ‘body.’ UCLA researchers say understanding this ‘body gap’ may matter for safety
Current AI systems lack internal embodiment, a property that humans take for granted, which can lead to performance and behavior limitations. Researchers propose a dual-embodiment framework to guide future research in building safer and more aligned AI models.