![]() ![]() Like Turing, we’re not arguing that a robot transforms into an organic being when it can replicate the conditions of a human. Yet there’s currently no standard way of evaluating how lifelike androids are, so it’s impossible to benchmark this development. Many scholars think creating a humanoid robot that is indistinguishable from a real human is the ultimate goal of robotics. But the Turing Test gives us a benchmark to judge our progress. That doesn’t mean there’s no work to do to create true artificial intelligence. A computer was able to pass this test in 2014. Turing argued that if a computer program could deceive more than 30% of humans into believing it was sentient in real-world conditions, then it is effectively indistinguishable from the human mind – it can think. In this way, we can ask the question: “Can we build robots that are perceptually indistinguishable from humans?” ![]() This means we can systematically compare a humanoid robot to a living counterpart. This is a measure of how well artificial intelligence is integrated with a robotic body in order to expresses a personality. ![]() My colleagues and I have designed a “Multimodal Turing Test” to judge a machine’s appearance, movement, voice and what we call embodied artificial intelligence (EAI). Now that we have increasingly realistic looking androids, we need a 21st-century version of the test. But, coming from an age where autonomous robots were only just in their infancy, the Turing Test was only designed to assess artificial brains, not a complete artificial person. In 1950 he asked, “Can machines think?”, and came up with a test that researchers still turn to as a way of judging whether a computer could be considered truly intelligent in the same way as humans. However, Turing’s work still challenges and inspires many people working today, especially those in robotics and artificial intelligence. Alan Turing was recently announced as the face of the new £50 note for his code breaking contributions in World War II and laying the foundations of computer science.
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