Is ChatGPT Lying or Are We Asking the Wrong Question?

It’s easy to slip into thinking that generative AI behaves like a person. We say things like “it lied,” or “it doesn’t understand.” That’s anthropomorphism: assigning human traits to something that isn’t human. It seems natural because these systems communicate in a conversational way, but that doesn’t mean there is any real understanding behind the response.

Generative AI does not lie. Lying requires intent and awareness. AI has neither. The output is based on the data it was trained on, the prompt it receives, and the algorithms generating the response. When something is incorrect or misleading, it is not deception. It is a limitation of the system. This is where things get blurred. Many GenAI tools seem to have personalities. They adjust tone, respond smoothly, and often sound confident. That personality is part of the design, not evidence of human-like thinking. Treating it as real creates a subtle but important trap.

When we assume human qualities, we stop questioning properly. Instead of asking what data or assumptions led to an output, we ask why it misled us. That shift reduces critical thinking and can result in missed errors or poor decisions. At the same time, a single incorrect answer can cause people to dismiss the technology entirely. Expectations move from perfect to useless, which is not realistic. Think about your smartphone. You expect it to work, and when it doesn’t, it’s frustrating. But you don’t assume intent. You troubleshoot the issue. GenAI should be treated the same way. It is not human and not perfect, but it is a powerful tool that requires judgment, curiosity, and better prompts.