How does John Searle’s Chinese room argument challenge the idea that computation creates understanding?

John Searle’s Chinese room argument challenges the core tenet of strong artificial intelligence—the idea that human intelligence is functionally equivalent to a computer program performing symbol manipulation.

In his thought experiment, Searle imagines a person who knows no Chinese inside a room, using a manual to match input Chinese characters with appropriate output responses. While the person can successfully simulate a conversation, they possess no actual meaning or understanding of the language. Searle argues that because the process relies solely on syntactic rules rather than semantic comprehension, computers merely simulate intelligence without exhibiting it.12

Even when faced with the "systems response"—which suggests the entire room, rather than the individual, understands the language—Searle maintains that if the person memorized the entire system, they would still lack genuine understanding. He further rejects the idea that robots with sensors could achieve understanding, arguing that sensory input is ultimately processed as symbols that can be manipulated without grasping their significance.12