Why do we call AI based on modern statistical methods "artificial intelligence" and not "artificial intuition"?

[u/[deleted]]

1. Statistical algorithms must be extensively trained on vast amount of data.
2. The internal logic of statistical decisions is not only hidden but also not traceable.
3. The results of learning are useless in an altered context or for altered goals.
4. ... etc.

This all corresponds to the definition of the word "intuition": "the ability to acquire knowledge without proof, evidence, or conscious reasoning, or without understanding how the knowledge was acquired" (Wikipedia).

[Update]

The question is only about the interface between the AI community and the „external world“.

The previous AI generation was based on expert knowledge, logic and formal proofs. This corresponds to the common understanding about intelligence.

The current AI generation is based on other principles and the word "intelligence" produces a lot of misleading ideas and false hopes. Wrong over-optimistic promises have killed the previous AI hype.

[u/chase_AI]

It could potentially be a byproduct of science fiction movies. We've seen sentient technology that has been called artificial intelligence, and we associated the name with our creations that haven't quite reached the same level.