7 AI doesn’t turn data into intelligence

This chapter covers

  • The difference between data, information, and intelligence
  • The limited reusability of AI models
  • The vulnerability of AI to unexpected data inputs

In this chapter, we will explain that regardless of how extensive the dataset or advanced the algorithms, an AI program faces a substantial challenge in inferring intelligence from data due to the semantic gap, as AI algorithms can process data but struggle to grasp its deeper meanings. Even for simpler tasks, such as recognizing handwritten numbers, where AI models excel, they still lack the capability to grasp the context surrounding these numbers. For instance, an AI system might correctly identify a handwritten 9 as the numeric ...

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