I cannot pretend to being to understand how AI software is created, but while reading some news articles today the thought occured to me: When does AI become actual AI and not just complicated IF statements in the background? If everything software does comes down to determinable IF statements with some degree of randomness, how does it have any more or less AI than any other program?
For starters, when you can 'train' your AI to behave a certain way. The AI can then make decisions based up on what it has learned from the training data, instead of from "hardcoded if statements". Obviously this is just scratching the surface, but you can see how AI using (for example) a neural network could evolve over time, as data in the network is changed.
I'd say that it's pretty close to AI when it can drive a real car in urban conditions.
Can you trivialize this by saying "it's just a bunch of 'if' statements"? I can't.
"Any sufficiently advanced technology is indistinguishable from magic." - Arthur C. Clarke.
Personally, I think auto pilots for planes and cars are quite advanced and impressive.
AI doesn't "become" actual AI... It's the other way around, it stops being AI when you figure out how it works.
Recommended reading: PoAIP
When does AI become actual AI and not just complicated IF statements in the background?
Who says there's a difference? As far as we know, out brains are really just "determinable IF statements with some degree of randomness" as well. Physics is just applied math, chemistry is just phsyics with some details simplified to allow working at a larger scale, biology is just simplified large-scale chemistry, and so far we don't have any proof that psychology is not just simplified large-scale biology.
If everything software does comes down to determinable IF statements with some degree of randomness, how does it have any more or less AI than any other program?
Emergent complexity - the whole is more than the sum of its parts and, as it gets more complex, often shows behaviour that cannot be tracked down to any one of the parts, or even specific groups of them.