Computing Machinery and Intelligence

Alan Turing's seminal paper introduces the "imitation game" (later called the Turing Test) as a practical criterion for determining whether a machine can exhibit intelligent behavior indistinguishable from a human. Rather than attempting to define intelligence philosophically, Turing proposes an operational test: if a machine can convince an interrogator of its humanity through conversation, it should be considered intelligent. The paper addresses common objections to machine intelligence, including arguments from disability, mathematical limitations, and the nature of consciousness.

Turing discusses the feasibility of building thinking machines and sketches early ideas about machine learning and digital computers. He argues that the question "Can machines think?" is too vague to be meaningful, and proposes his test as a more tractable alternative. The paper's influence on artificial intelligence, cognitive science, and philosophy of mind has been profound and enduring, establishing a framework that continues to shape debates about AI capabilities and consciousness.