Tania Lombrozo, the Arthur W. Marks '19 Professor of Psychology at Princeton University, has identified a problem woven into modern society: we mistake other people’s expertise for our own understanding, and artificial intelligence may make that mistake worse.
The trap is simple, but profound. When Lombrozo’s daughter developed a fever, she asked a pediatrician, who offered a straightforward diagnosis: the flu. Lombrozo couldn’t explain how the virus triggers a fever or why fluids matter, but she knew enough to act. The explanation worked. Her daughter got treated. Society moved forward.
That division of explanatory labor made civilization possible. We don’t all need to know how to manufacture cars to drive them, understand engineering to fly in a plane, or grasp immunology to benefit from vaccines. Specialized knowledge, shared across communities and over time, has powered advances in medicine, science, engineering and commerce. It’s a feature, not a bug. But there’s a hidden cost.
The Illusion at the Heart of Expertise
We feel we understand more than we do. Access to information gets mistaken for comprehension. The pediatrician’s knowledge becomes our own in our minds. We nod, feeling informed, when we’ve really outsourced our understanding. Lombrozo calls this an illusion, a cognitive trap that works when trustworthy specialists share expertise, but breaks down as the system erodes.
Children understand this intuitively. A 2004 study published in Child Development found that children as young as 3 to 5 years old already knew to ask a doctor about a broken arm and a mechanic about a flat tire. By ages 11 and 12, their reasoning grew more sophisticated. Asked why tennis balls bounce better on sidewalks than grass, children more often recommended someone who understood why bubble wrap protects glass—a physics question—than someone who knew why tennis balls come in cans of three. They weren’t relying on surface similarities; they understood underlying principles.
These intuitions guide how we navigate the world. Evolution, culture and personal experience teach us whom to trust, and when. We’ve built institutions around that understanding: medical licensing, engineering certification and academic credentials. The system assumes that asking the right expert brings reliable knowledge.
Where the System Becomes Fragile
What happens when expertise itself changes? When an AI system can generate plausible-sounding explanations at scale, the illusion of understanding grows more dangerous. An AI chatbot won’t hesitate to explain biochemistry, economic policy or legal strategy with confidence and detail. It will sound authoritative. Most people won’t know if it’s right.
The problem isn’t simply that AI sometimes gives false information. It runs deeper: AI removes the human judgment that usually acts as a brake on the illusion. Ask a doctor a medical question, and you’re relying on years of training, professional accountability and a willingness to say, “I don’t know.” Ask an AI, and you get pattern-matching dressed up as expertise. The system has no skin in the game. You can’t sue it for malpractice.
Lombrozo’s work suggests that as AI becomes more prevalent—more accessible, more conversational and more seemingly authoritative—the gap between what we think we understand and what we actually understand will widen. We’ll feel smarter. We’ll feel more informed. We’ll trust our grasp of complex systems even as that grasp becomes more illusory. The cognitive trap won’t vanish. It’ll grow.
Why This Matters:
Democratic societies depend on citizens sharing some baseline understanding of public problems. Climate change, public health, economic policy and law all require informed judgment. The division of expertise works only when people know whom to trust and when. If AI creates a generation that feels knowledgeable without understanding, the social trust needed for democratic deliberation erodes. People will feel confident in opinions shaped through interactions with AI systems that have no accountability. Institutions built on professional expertise—medicine, law, science and journalism—will face pressure from people who believe they can bypass expertise entirely. The illusion of understanding isn’t just a cognitive problem. It threatens the institutional structures that let complex societies function fairly and effectively.