When this story was originally posted, it contained an incorrect spelling of Ray Kurzweil’s last name. The error has been corrected.The question of whether machines will be capable of human intelligence is ultimately a matter for philosophers to take up and not something that scientists can answer, an inventor and a computer scientist agreed during a debate Thursday night at the Massachusetts Institute of Technology (MIT).Inventor Ray Kurzweil and Yale University professor David Gelernter spent much of the session debating the definition of consciousness as they addressed the question, “Are we limited to building super-intelligent, robotic ‘zombies,’ or will it be possible for us to build conscious, creative, even ‘spiritual’ machines?” Although they disagreed, even sharply, on various points, they did agree that the question is philosophical rather than scientific.The debate and a lecture that followed were part of MIT’s celebration of the 70th anniversary of Alan Turing’s paper “On Computable Numbers,” which is widely held to be the theoretical foundation for the development of computers. In a 1950 paper, Turing suggested a test to determine “machine intelligence.” In the Turing Test, a human judge has a conversation with another human and a machine, not knowing which responses come from the human or the machine. If it cannot be determined where the responses come from—the human or the machine—then the machine is said to “pass” the test and exhibit intelligence. Of course, this being at least in part a philosophical matter, the Turing Test itself is the source of ongoing dispute.Kurzweil and Gelernter weren’t so much interested in that dispute, but more focused on how his test could be applied. Kurzweil’s position was that machines will, in fact, someday pass the Turing Test, that modeling of parts of the brain is already leading to the ability to replicate certain human functions in a machine. “We’ll have systems that have the suppleness of the human brain,” Kurzweil said, adding that to contemplate how those machines will be developed, it’s important to accept that current software and computing power aren’t up to the task and that technological advances are necessary first. So, it’s important to look out 20 or so years.Humans will recognize the intelligence of such machines because “the machines will be very clever and they’ll get mad at us if we don’t,” he joked.Gelernter smiled at that, but he also shook his head. He’s not buying it because logically, any machine that is programmed to mimic human feelings, which are an aspect of consciousness, is programmed to lie because a machine cannot feel what a human feels. That’s the case even if the machine seems to be able to “think” like a human.“It’s clear that you don’t just think with your brain,” he said. “You think with your body.”Kurzweil noted that recently a computer simulated protein folding, which is something that was believed to be impossible for a machine to do, suggesting that it’s difficult to predict what machines will be capable of doing. Gelernter had an answer for that, too: That’s all that happened, just the simulation of the folding, the process stopped there.-Nancy Weil, IDG News Service (Boston Bureau) Check out our CIO News Alerts and Tech Informer pages for more updated news coverage. Related content feature Expedia poised to take flight with generative AI CTO Rathi Murthy sees the online travel service’s vast troves of data and AI expertise fueling a two-pronged transformation strategy aimed at growing the company by bringing more of the travel industry online. By Paula Rooney Jun 02, 2023 7 mins Travel and Hospitality Industry Digital Transformation Artificial Intelligence case study Deoleo doubles down on sustainability through digital transformation The Spanish multinational olive oil processing company is immersed in a digital transformation journey to achieve operational efficiency and contribute to the company's sustainability strategy. By Nuria Cordon Jun 02, 2023 6 mins CIO Supply Chain Digital Transformation brandpost Resilient data backup and recovery is critical to enterprise success As global data volumes rise, business must prioritize their resiliency strategies. By Neal Weinberg Jun 01, 2023 4 mins Security brandpost Democratizing HPC with multicloud to accelerate engineering innovations Cloud for HPC is facilitating broader access to high performance computing and accelerating innovations and opportunities for all types of organizations. By Tanya O'Hara Jun 01, 2023 6 mins Multi Cloud Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe