Using language as a test for neural network’s “intelligence” makes sense to some degree, as it is one of the hardest things for an AI system to imitate. However, some argue that the test is far from perfect. Should We Worry About AI Reaching Singularity?.Most recently, Google’s AI LaMDA passed the test and even controversially convinced a Google engineer that it was “sentient.” In the decade since, many more programs have purported to pass the Turing test. The first attempt at passing the test came in the mid-1960s when computer programmers designed a chatbot named Eliza to mimic a psychologist, and in 2014, the first AI to reportedly pass the test (this is debated) was Eugene Goostman, a program designed to simulate the responses of a 15-year-old Ukrainian boy. If the computer successfully tricks the questioner into thinking it's a human, then it has passed the Turing's test. In this “imitation game,” as Turing originally described it, a human participant blindly asks questions to both a human and a computer. Many tests and benchmarks have been proposed as a replacement with the latest proposal, called the AI Classification Framework, aiming many different types of intelligence beyond language and mathematicsįirst proposed in 1950, the “Turing Test”-named after renowned British computer scientist Alan Turing-is a hypothetical framework to test the intelligence of an AI system.For nearly a decade, programmers have created AI reportedly beating the Turing Test while experts argue that test is an imperfect benchmark of "true" intelligence. For more than 70 years, the Turing Test has been a popular benchmark for analyzing the intelligence of computers.
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