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by rendall 1715 days ago
It should be at least theoretically possible for an AI to identify contradictions, incoherence and inconsistency in a set of assertions. So, not identifying falsehood per se, but assigning a fairly accurate likelihood score based solely on the internal logic of the symbol stream. In other words, a bullshit detector.
1 comments

> It should be at least theoretically possible for an AI to identify contradictions, incoherence and inconsistency in a set of assertions

Not in the slightest. Likelihood of veracity is opinion -- laundering it as fact to make some people feel better doesn't make it any more subjective, or authoritative.

I think we're not disagreeing, exactly.

As a simple example, here is a set of assertions:

* The moon is made of green cheese

* The moon is crystalline rock surrounding an iron core

It wouldn't take an AI to see that both of these can't be true, even if we weren't clear about what a moon is made of, exactly.

Some of our common understanding could contain more complicated internal contradictions that might be harder for a human to tease apart, that an AI might be able to identify.

How would the AI know that "made of green cheese" isn't just another way of saying "crystalline rock surrounding an iron core"? To find a contradiction in a statement like "X is A. X is B" it'd first have to be intelligent enough to know when A != B. In your example, that's not as simple as 1 != 0.