However, if the evaluator can identify the human responses correctly, then this eliminates the machine from being categorized as intelligent. If the interrogator cannot reliably discern the machines from human subjects, the machine passes the test. In this test, there is a person known as the “interrogator” who seeks to identify a difference between computer-generated output and human-generated ones through a series of questions. Originally known as the Imitation Game, the test evaluates if a machine’s behavior can be distinguished from a human. For now, many use the Turing test to evaluate intelligence of an AI system.Īlan Turing developed the Turing Test in 1950 and discussed it in his paper, “Computing Machinery and Intelligence” (PDF, 566 KB) (link resides outside IBM). Until the measures of success, such as intelligence and understanding, are explicitly defined, they are correct in this belief. While some individuals, like Marvin Minsky, have been quoted as being overly optimistic in what we could accomplish in a few decades in the field of AI others would say that Strong AI systems cannot even be developed. While AI researchers in both academia and private sectors are invested in the creation of artificial general intelligence (AGI), it only exists today as a theoretical concept versus a tangible reality. But just like a child, the AI machine would have to learn through input and experiences, constantly progressing and advancing its abilities over time. Strong AI aims to create intelligent machines that are indistinguishable from the human mind. Strong artificial intelligence (AI), also known as artificial general intelligence (AGI) or general AI, is a theoretical form of AI used to describe a certain mindset of AI development. If researchers are able to develop Strong AI, the machine would require an intelligence equal to humans it would have a self-aware consciousness that has the ability to solve problems, learn, and plan for the future.
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