The most popular and comprehensive Open Source ECM platform
Let us know more
Artificial Intelligence: The Challenge of Common Sense
Common sense. Most people you know have it, but machines do not. And that’s a problem for artificial intelligence. Computers are good at automating the processing of numbers and managing rules and relationships between objects, but they are not good at making simple predictions about the world around them. They don’t understand the principle of cause and effect.
Yannis Yortsos, dean of the USC Viterbi School of Engineering, said that “AI systems today can converse with us to order a book, find a song, or vacuum our floors. But they do not have the common sense to know that we read books for learning and for pleasure, that music relaxes us, and that tidy homes are more enjoyable. Mindsets taking into account human interaction must be applied in tackling the common sense challenge for AI as we are laying the foundations for AI to be responsible and ethical, and to impact society in meaningful ways.”
Oren Etzioni, the C.E.O. of the Allen Institute for Artificial Intelligence, said that “common sense is the ‘dark matter’ of A.I. It shapes so much of what we do and what we need to do, and yet it’s ineffable.”
Some researchers have said that AI models like those seen in Machine Learning and huge Natural Language Processing models like GPT-3 will eventually just evolve and become so powerful that common sense is just another parameter that comes along with increased sophistication.
But Yann LeCun, an early pioneer of modern AI and the lead of AI at Meta, said that “this idea that we’re going to just scale up the current large language models and eventually human-level AI will emerge—I don’t believe this at all, not for one second. These large models just manipulate words and images, they have no direct experience of the world.”
