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How to Solve AI's 'Common-Sense' Problem

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Illustration shows a digitally drawn brain superimposed over puzzle pieces.

“Machines that don't have common sense don't have that perspective, don't have that fallback to stop themselves from doing things that are strange.” -Ronald Jay Brachman

Credit: 123RF

Ronald Jay Brachman is director of the Jacobs Technion-Cornell Institute at Cornell Tech and co-author of the book, Machines Like Us.

In recent years, deep learning has taken great strides in some of the most challenging areas of artificial intelligence (AI); however, some problems remain unsolved. Deep-learning systems are poor at handling novel situations, they require enormous amounts of data to train, and they sometimes make weird mistakes. Some scientists believe these problems will be solved by creating larger neural networks trained on bigger datasets. Others think that what the field of AI needs is a little bit of human "common sense."

In an interview, Brachman discusses what common sense is and is not, why machines do not have it, and how "knowledge representation" can steer the AI community in the right direction.

From TechTalks
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