[GuB-42]

We are pattern recognition machines. If you consider pattern matching unintelligent, then machines are more intelligent that we are since they rely more on logic than pattern matching.

For the black man = gorilla problem, an untaught human, a small child for instance, can easily make the same mistake. Especially if he has seen few black people. And well educated adults can also make the mistake initially, even if they hate to admit it.

However, in the last case, a second pattern recognition happen, one that matches the result of the image classifier with social rules. And it turns out that mixing black men and gorillas is a clear anti-pattern and anything that isn't certain is incorrect.

Unlike us, computer image classifiers typically aren't taught social rules, so like a small child, they will tell things without filter. It will probably change in the future for public facing AIs.

Not stereotyping is not a mark of intelligence, it is a mark of a certain type of education. And I don't see why it couldn't be done with the usual machine learning techniques.

[dheera]

> social rules

I claim it isn't just social rules -- part of that is empathy, which is a manifestation of intelligence that I think is beyond pattern matching.

If a white person were mislabeled as a cat, it would be a cute funny mistake. Labeling people as dogs, not so much. Gorillas, even worse. Despite that gorillas are more intelligent and empathetic than cats. Oh, and bodybuilder white celebrity boxing champion as a gorilla, may actually be okay. The same guy as a dog, no. It makes no sense to a logic-based algorithm. But humans "get it".

A human gets it because they could imagine the mistake happening against them, with absolutely zero prior training data. You don't need to have seen 500 examples of people being called gorillas, cats, dogs, turtles and whatever else.

If you want to say that a hundred pattern recognition algorithms working together in a delicate way might manifest intelligence, I think that is possible. But the point is one task-specific lowly pattern recognition algorithm, which is today's state of the art, is pretty stupid.

[ArchTypical]

> We are pattern recognition machines.

That's just one function. That's not the entirety of what the brain (and body) does.

> If you consider pattern matching unintelligent,

What do you think pattern matching IS? Round ball round hole does not require intelligence. It requires physics. The convoluted rube goldberg meat machine what we use to do it, doesn't change what it is. Making the choice of will and approximations, are more signs of intelligence, imo.