Alan Turing — "The question is not whether machines can think, but whether they can be made to …"
The question is not whether machines can think, but whether they can be made to think like humans.
The question is not whether machines can think, but whether they can be made to think like humans.
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"The machine should be able to make mistakes."
"The human brain is a very remarkable thing, but it is not infallible."
"I am not a believer in the idea that the human mind is something supernatural."
"The machine should be able to learn for itself."
"If a machine is expected to be infallible, it cannot also be intelligent."
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Intelligence isn't a binary property machines either have or lack — it's a spectrum of capability. The real challenge is whether we can engineer machines to replicate the specific patterns, flexibility, and adaptability of human cognition, not just perform narrow tasks. This reframes AI as an engineering and philosophical problem rather than a metaphysical one about machine consciousness.
Turing spent his career operationalizing intelligence — his 1950 paper introducing the Turing Test deliberately sidestepped 'can machines think?' in favor of observable imitation. His Bletchley Park codebreaking work showed machines solving problems once considered uniquely human. He understood intelligence through behavior and function, not soul or substrate.
The late 1940s and 1950s saw the first stored-program computers emerge alongside Cold War pressure to automate military intelligence. Philosophers and scientists debated whether mind was mechanical. Turing wrote 'Computing Machinery and Intelligence' in 1950, directly challenging religious and philosophical objections to machine thought at a moment when the question felt newly urgent.
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