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Saturday, April 03, 2021

Why AI can’t solve unknown problems | The Machine - VentureBeat

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When will we have artificial general intelligence, the kind of AI that can mimic the human mind in all aspect? Experts are divided on the topic, and answers range anywhere between a few decades and never, observes Ben Dickson, software engineer and the founder of TechTalks.

Photo: Tech Talks

But what everyone agrees on is that current AI systems are a far shot from human intelligence. Humans can explore the world, discover unsolved problems, and think about their solutions. Meanwhile, the AI toolbox continues to grow with algorithms that can perform specific tasks but can’t generalize their capabilities beyond their narrow domains. We have programs that can beat world champions at StarCraft but can’t play a slightly different game at amateur level. We have artificial neural networks that can find signs of breast cancer in mammograms but can’t tell the difference between a cat and a dog. And we have complex language models that can spin thousands of seemingly coherent articles per hour but start to break when you ask them simple logical questions about the world.

In short, each of our AI techniques manages to replicate some aspects of what we know about human intelligence...

In Algorithms Are Not Enough, Roitblat provides ideas on what to look for to advance AI systems that can actively seek and solve problems that they have not been designed for. We still have a lot to learn from ourselves and how we apply our intelligence in the world.

“Intelligent people can recognize the existence of a problem, define its nature, and represent it,” Roitblat writes. “They can recognize where knowledge is lacking and work to obtain that knowledge. Although intelligent people benefit from structured instructions, they are also capable of seeking out their own sources of information.”

Read more... 

Additional resources

Algorithms Are Not Enough:
Creating General Artificial Intelligence

Source: VentureBeat