

Dartmouth 1956: The Summer That Named a Field
"Artificial Intelligence" was coined at a summer workshop with 10 attendees.
In August 1955, John McCarthy, a 27-year-old assistant professor at Dartmouth, wrote a proposal with Marvin Minsky, Nathaniel Rochester, and Claude Shannon for a summer research project. The document is less than two pages. It proposes studying "the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it." And it uses, almost in passing, a phrase that would define the next 70 years of science: "artificial intelligence."
The Dartmouth Summer Research Project on Artificial Intelligence ran for six weeks in the summer of 1956. McCarthy had hoped for 10 researchers; about that number showed up, though rarely all at once. The participants included Allen Newell and Herbert Simon, who brought their "Logic Theorist," a program that had proved 38 of the 52 theorems in Principia Mathematica and was arguably the first AI program. They also brought ideas that would take decades to bear fruit.
The workshop produced no unified theory, no major published paper. What it produced was a community. McCarthy, Minsky, Newell, Simon, Shannon, people who would go on to define the field, spent six weeks together, sharing ideas, arguing about what "intelligence" even meant. The term "artificial intelligence" propagated from that summer into academic departments, funding agencies, and eventually popular culture.
McCarthy later reflected that choosing the phrase "artificial intelligence" over alternatives like "complex information processing" was perhaps a mistake, it raised expectations impossibly high. When the field couldn't deliver general intelligence in 10 years (as many had promised), the funding dried up in what became the first AI winter. The name had written a check that the science couldn't cash.
The Dartmouth proposal is a peculiar historical document: confident, vague, and wildly optimistic. Its authors expected to make "significant advances" in the summer of 1956. It took until 2024 for one of those authors, Geoffrey Hinton, who joined the field a generation later, to win a Nobel Prize. The summer that named a field was the beginning of a much longer story than anyone in the room expected.
What it actually meant
The naming of "artificial intelligence" shaped the field as much as any algorithm. The label set expectations the science could not meet for decades. The funding cycles, crashes, and AI winters that followed trace back to a phrase in a two-page proposal. What you call a field determines what you owe it.
What enterprises get wrong today
"We are implementing AI" becomes an identity rather than a program with specific goals. Boards approve budgets based on headlines. Teams spend them building demos. When demos do not convert to production, projects get cancelled. This reproduces the Dartmouth pattern at the company level, every few years.
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The Dartmouth workshop is the founding myth of AIa dozen people in a New Hampshire summer who coined a term and accidentally overpromised an entire field into its first winter. What would you like to know about it?