Why is it so hard to give AI common sense? - Deepstash

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The Superpower Of Common Sense

The Superpower Of Common Sense

We take common sense for granted, but this uniquely human trait is difficult to emulate artificially, as it relies on a variety of powerful abilities of our mind.

Common sense is a broad trait, which includes spatial intelligence, reasoning, managing expectations, knowledge of abstract concepts and social abilities.


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G. K. Chesterton - English Philosopher

"Common sense is a wild thing, savage, and beyond rules."



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Common Sense Is Hard For Computers

  • Computers have mastered many games involving strategy and logic(like GO and Chess), but common sense learning is a dream.
  • AI(artificial intelligence) may be great at algorithmic computations but falls flat when tackling real-world complexities.
  • Modern AI can handle specific problems, but common sense is hard to master as it is vague and does not come with a predefined set of rules.


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The Moonshot AI Problem

Machine learning of common sense is now considered a moonshot problem, requiring intensive collaborative efforts from different institutions and organizations. 

Understanding natural language and answering simple questions are the first steps towards building common sense in machines.

To learn common sense, machines would have to master sociology, psychology, planning and execution, emotions, threat detection, background knowledge, and many abstract concepts.


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