The 1956 naming

A field gets one chance to name itself, and this one spent it in a funding proposal. The document went to the Rockefeller Foundation on 31 August 1955, signed by John McCarthy of Dartmouth, Marvin Minsky of Harvard, Nathaniel Rochester of IBM, and Claude Shannon of Bell Labs. It asked for a two-month, ten-man study to run at Dartmouth College the following summer, and it carried a conjecture of magnificent nerve, that every feature of intelligence can in principle be described so precisely that a machine can be made to simulate it. It also carried a title. The study was on artificial intelligence, a phrase that did not exist before somebody typed it there.

There was a rival on the table. Allen Newell and Herbert Simon, who arrived at that summer meeting with the first working program of the kind, preferred complex information processing. It was the more accurate description and it lost, and McCarthy’s own account of why he wanted a fresh banner is refreshingly unsentimental. The established discipline for thinking machines was Norbert Wiener’s cybernetics, and McCarthy said later that he wished to avoid either accepting Wiener as a guru or having to argue with him. A new name was the cheapest available exit from a room.

The cost arrived on a longer schedule. A name annexes everything its word was already carrying, and intelligence was carrying a great deal: the Latin inter-legere, to choose between, and on top of that two thousand years of argument about discernment, understanding, and what in a person does the judging. Calling the work by that word committed the field to defending a claim its actual artifacts had never made.

Watch what the substitution does to the central question. Had the banner read complex information processing, the field’s animating question for seventy years would have been whether machines can process information complexly. That question was answered yes almost immediately, and everyone could have gone back to the engineering. Under the banner it got, the question became whether machines think, understand, and discern, and that one has consumed conferences, careers, and an enormous quantity of public argument while moving almost nowhere. Both camps in that argument are downstream of a branding decision. The believer defends a promise no engineer ever made, and the skeptic scores points off the same promise, and the machine sits between them doing something neither has bothered to name.

What it does deserves a name of its own, because the achievement is real. These systems gather at a scale no scholar or spy could approach, and from what they have gathered they infer, fluently and often correctly, across nearly every domain human beings have written down. Inference is not a consolation prize. It is one of the hardest things ever built, and it is what the machine on your desk is doing every time it looks like it is thinking. Artificial inference describes it exactly. The word carries no smuggled promise about a stake in the outcome, no implication that anything inside is weighing what is good, and it leaves the older word free to mean what it has always meant.

Use it and watch the arguments get shorter. Ask whether a system infers well and you get a testable question with an answer that improves every year. Ask whether it discerns and you are asking about the annexed territory, which is where the interesting work still is and where nothing shipped yet lives. Naming a thing accurately is the smallest possible act of judgment, and it is available to anyone, right now, at no cost but the willingness to give up the more exciting word.