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No single person invented artificial intelligence. That is the honest answer, and it surprises most people. But one man gave it a name in 1956, and that name stuck forever. If you are asking who created artificial intelligence, the story starts with John McCarthy, a young professor who believed machines could one day think like humans. It continues with Alan Turing, who asked the big question a decade earlier, and a small group of scientists who gathered at a college one summer and accidentally started a revolution.
The short version is that artificial intelligence was born in the 1950s, but its roots go back much further. Philosophers and mathematicians had dreamed about thinking machines for centuries. What changed in the 1950s was that real computers finally existed. Scientists could stop dreaming and start building. The man most people credit is John McCarthy. In 1955, he wrote a proposal for a summer research project and used the phrase artificial intelligence for the first time. He later invented the LISP programming language in 1958, which became the favorite tool of AI researchers for decades. That is why many call him the father of AI today.

Before McCarthy named the field, Alan Turing defined its biggest question. In 1950, he published a paper called Computing Machinery and Intelligence. In it, he asked a simple question. Can machines think? He then proposed a test. If a human talking to a machine through text could not tell whether it was human or machine, then the machine could be called intelligent. This became known as the Turing Test. Turing never built an AI system himself, and he died in 1954, two years before the field got its name. Yet every chatbot you talk to today is judged by his idea. He is often called the theoretical godfather of AI, and the title fits.
In the summer of 1956, McCarthy organized a meeting at Dartmouth College in New Hampshire. He invited a small group of brilliant researchers. The attendees included Marvin Minsky, Nathaniel Rochester, Claude Shannon, Allen Newell, and Herbert Simon. They spent the summer discussing whether machines could learn, use language, and solve problems. The meeting did not produce a working AI, and some historians say it was messy and unfocused. But it did something more important. It gave the field a name and a community. Most experts point to that summer as the official birth of AI research. You can read a full history of AI to see how those early ideas grew into the technology we use now.

Naming a field is one thing. Building real programs is another. In 1957, Allen Newell and Herbert Simon created the General Problem Solver, one of the first programs designed to think through problems step by step. In 1958, Frank Rosenblatt built the Perceptron, an early neural network that could learn to recognize simple patterns. It was the great-grandfather of the deep learning systems behind new AI models today. In 1966, Joseph Weizenbaum created ELIZA, a program that could hold a simple text conversation and fooled some users into thinking it understood them. In 1970, Terry Winograd built SHRDLU, which could understand typed commands about blocks in a virtual world. Each of these pioneers added one brick to the foundation.
AI went through quiet decades, sometimes called AI winters, when funding dried up and progress slowed. Then came the deep learning revolution. Three researchers led it. Geoffrey Hinton, Yann LeCun, and Yoshua Bengio spent years working on neural networks when almost nobody else believed in them. Their work on training deep networks made modern breakthroughs possible, from AI image tools to the chatbots millions use daily. In 2018, they shared the Turing Award, the highest honor in computing. They did not create AI from nothing. They revived an old idea, the neural network, and finally made it work at scale with modern computers and data.
So who created artificial intelligence? Nobody did, and everybody did. Turing asked the question. McCarthy named the field and built its first tools. The Dartmouth group turned an idea into a science. Rosenblatt, Newell, Simon, Weizenbaum, and Winograd built the first working programs. Hinton, LeCun, and Bengio brought it roaring back with deep learning. Thousands of engineers since then have turned research into products. If you want to understand where AI is heading next, start by exploring how far the tools have come, from early experiments to practical AI coding tools you can use today. The story of AI is still being written, and the next chapter belongs to whoever builds it.