Backpropagation, a core concept in AI, is based on calculus’ chain rule. It allows machines to identify and correct errors by adjusting neural network weights, improving predictions over time. This simple mathematical loop powers modern AI models used in speech recognition, computer vision, and generative art, enabling systems to learn like humans.