Alan Turing — "A computer would deserve to be called intelligent if it could deceive a human in…"
A computer would deserve to be called intelligent if it could deceive a human into believing that it was human.
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More from Alan Turing
"The human brain is a very remarkable thing, but it is not infallible."
"It is possible to invent a single machine which can be used to compute any computable sequence."
"The extent to which we regard thinking as a function of the brain rather than the entire body is very much a matter of taste."
"The story of how it all came to be found out is a long and fascinating one, which I shall have to make into a short story one day, but haven't the time to tell you now."
"The computer is a tool for extending the human intellect."
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Understanding this quote
What it means
True machine intelligence isn't measured by speed, memory, or processing power — it's measured by behavior. If a machine can hold a conversation so naturally that a real person cannot tell they're talking to software, it has crossed the threshold into genuine intelligence. This shifts the question away from 'how does it work inside' toward 'what can it do' — a practical, human-centered test for a concept that resists easy definition.
Relevance to Alan Turing
Turing proposed this idea in his landmark 1950 paper 'Computing Machinery and Intelligence,' introducing what became the Turing Test. His wartime codebreaking at Bletchley Park also centered on deception — cracking Nazi Enigma communications by simulating enemy logic. Personally, Turing lived as a gay man in an era requiring concealment. He understood intimately the gap between what one truly is and what one must appear to be.
The era
In 1950, computers filled entire rooms and performed basic arithmetic. The concept of a thinking machine was science fiction to most. Post-WWII Britain was rebuilding, and tools that helped crack Enigma raised urgent questions about whether machines could reason. Philosophers debated consciousness; scientists debated mechanism. Turing's behavioral framing cut through speculation with an empirical challenge that still defines artificial intelligence discourse seventy-five years later.
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