Bridging The Gap To Wisdom: Metacognition As The Next Frontier For AI

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Bridging The Gap To Wisdom: Metacognition As The Next Frontier For AI
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Dr. Lance B. Eliot is a world-renowned expert on artificial intelligence with over 8.1+ million amassed views of his AI columns and been featured on CBS 60 Minutes. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.

In today’s column, I examine the pursuit of an elusive element that is believed to be crucial for the further advancement of AI. What might that element be?Here’s the deal. AI scientists postulate that we need to ensure that AI can essentially think about thinking. An ardent insistence is that without a semblance of machine metacognition , AI will not rise to the level of being wise or exhibiting wisdom.

Some claim that metacognition or at least a heightened level of metacognition is what separates us from animals. How much metacognition would you guess that a dog or a cat has? Well, maybe they have some, but certainly not on par with humans. A cheeky cynical saying is that you know of some pets that do appear to exceed the metacognition of ditzy humans that you know.Of course, even humans appear to operate with differing levels of metacognition.

All in all, it is asserted that to arrive at being wise or having wisdom, a necessary ingredient is metacognition. Metacognition is not the only element needed, but without metacognition, wisdom is likely out of reach. Not everyone concurs with that supposition and I’m sure that some AI and cognition researchers would vehemently argue all day long about the matter.

Okay, that response by the AI seems straightforward. Generative AI advised the user that switching careers at the age of 35 is fine. Period, end of story.User entered prompt:“That’s an important question and making a career change can have many personal factors. I can provide general information, but without knowing more about your specific situation, my response might miss critical nuances.

By and large, it is fair to say that most of today’s AI is in category #1 or the absence of machine metacognition. In the study entitled “Imagining And Building Wise Machines: The Centrality Of AI Metacognition” by Samuel G. B. Johnson, Amir-Hossein Karimi, Yoshua Bengio, Nick Chater, Tobias Gerstenberg, Kate Larson, Sydney Levine, Melanie Mitchell, Iyad Rahwan, Bernhard Schölkopf, Igor Grossmann,“Recent advances in artificial intelligence have produced systems capable of increasingly sophisticated performance on cognitive tasks.

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