Chinese Academy of Sciences Turns AI's Emotional Intelligence Gap into a Measurable Engineering System

According to a report from QbitAI on July 27, 2026, a research team from the Chinese Academy of Sciences (CAS) has turned artificial intelligence's weakness in emotional intelligence (EQ) into a measurable and trainable engineering system.

For a long time, AI has excelled at knowledge retrieval and logical reasoning but struggled with understanding emotions, navigating social contexts, and expressing empathy — capabilities essential for natural human interaction. CAS's latest work directly targets this gap.

The research team reportedly deconstructed emotional intelligence into quantifiable dimensions and built a corresponding training framework. This transforms AI EQ from an elusive concept into a systematically optimizable engineering target.

The core approach is to convert EQ from a fuzzy soft skill into a programmable, verifiable engineering problem. If validated, this could dramatically improve user experiences with AI assistants, customer service systems, educational robots, and other human-facing applications.

Full technical details and specific application scenarios have not yet been disclosed. However, AI systems capable of perceiving emotions and responding appropriately could play significant roles in healthcare counseling, psychological support, and educational companionship.

CAS's move also signals that after multiple rounds of model capability competition, Chinese AI research is turning attention to capabilities beyond benchmark scores — specifically, the quality of human-machine communication. This trend warrants close observation.