AI boundaries: From local rules to global governance

Chinese cities are known for being clean, safe and orderly. In the background, AI is already helping make them work better, one complaint, one street, one lamp at a time. 

In Shanghai's Jiading District, an AI system spots littering, illegal parking and road hazards within a minute, then alerts the right responder without a human lifting a finger. 

In Tianjin, an AI "social worker" handles residents' queries and complaints around the clock. "The hallway light is broken" used to be a common grumble. Now, it's a ticket raised and resolved.

This is what iFLYTEK executives Lou Chao and Wang Wei call the "last mile," the point where AI stops being a concept and starts doing real work, all day, every day. 

Getting there requires more than technology. Data governance, cross-border compliance, privacy protection and rule-setting are just as crucial. 

When AI can flag a hidden clause or a corrupt tender in 15 minutes, the question is no longer what it can do, but who controls it, who trusts it and who holds it accountable .

In our full interview, iFLYTEK's two vice presidents break down how AI is moving from the lab into cities, and why governance, not algorithms, is the hardest part. Watch the full interview.