Tania Lombrozo describes a familiar gap: people often understand less themselves than they rely on others to know. Her daughter had a fever, so Lombrozo consulted a pediatrician, who offered the flu as a likely diagnosis. Lombrozo couldn’t explain how flu causes fever or why her daughter needed to keep drinking fluids. Still, the explanation she got — roughly, “fever because flu” — was enough to guide her care.
The Knowledge We Share
Lombrozo writes that society depends on this division of explanatory labor. People coordinate specialized skills to make pins, cars and newspapers, and specialized knowledge helps them answer questions. You can drive a car without knowing how to manufacture one. Likewise, Lombrozo could act on the pediatrician’s explanation without understanding the illness as well as the doctor did.
This divide-and-conquer approach has helped advance medicine, science, engineering and commerce. It has also helped human knowledge accumulate across communities and over time. But people’s reliance on other people’s expertise can create what Lombrozo calls illusions of understanding: they may mistake knowledge held by others for knowledge they possess themselves.
How People Choose an Expert
According to Lombrozo, evolution, culture and personal experience shape people’s judgments about whom to consult. Children as young as 3 to 5 are more likely to say that a doctor should be asked about a broken arm and a mechanic about a flat tire. Those answers show children matching questions to people they consider experts.
A 2004 study published in Child Development examined how older children made similar choices. Researchers asked 11- and 12-year-olds why tennis balls bounce better on sidewalks than on grass. The children were more likely to recommend asking someone who knew why bubble wrap protects glass, another question involving physics. They were less likely to recommend someone who knew why tennis balls come in cans of three. Their choices reflected underlying principles, not just surface similarities between questions.
What the Article Says About AI
Lombrozo is the Arthur W. Marks ’19 Professor of Psychology at Princeton University and wrote Why We Ask Why: The Science of Explanation and the Human Drive to Understand. The article’s headline asks whether AI could worsen the cognitive trap of mistaking shared knowledge for personal understanding. But the text describes the trap and the role of shared expertise without explaining how AI might intensify it.
There’s no specific AI system, example of its use, or account of its effect on people’s understanding. The article doesn’t discuss migration, demographic change, national sovereignty, or an institution directing AI policy. Instead, it focuses on how people rely on specialists, how children identify relevant expertise, and how communities share knowledge. The AI question remains a possibility raised by the headline, not a claim developed in the text.