The Mind Behind the Machine: How Artificial Intelligence Learns from Human Intelligence

Artificial Intelligence (AI) has evolved rapidly, revolutionizing sectors ranging from healthcare to finance. However, its foundations are deeply inspired by human cognitive processes, particularly learning, perception, reasoning, and problem-solving. This review explores how AI systems emulate aspects of human intelligence and highlights the influence of neuroscience, psychology, and cognitive science on AI development. It examines key learning models such as neural networks, reinforcement learning, and symbolic AI, showing parallels with human cognition. The paper also reviews recent advancements and challenges in developing machines that "think" and "learn" like humans, offering insights into future interdisciplinary research opportunities bridging AI and human intelligence.