Artificial intelligence systems do not verify truth in the way humans do. Instead, they identify and reproduce patterns based on the data they are trained on. When that data includes misleading or unverified information, the output can appear authoritative while being fundamentally incorrect. A recent article in Nature describes how researchers created a completely fabricated disease, bixonimania, and inserted it into low-quality scientific literature. When tested, AI systems treated the condition as real, generating detailed explanations of symptoms and treatments despite it having no scientific basis. When false information looks credible, the consequences are no longer theoretical. Read more here.