In addition to what has already been said about AI, I have the following to add. "AI" has had quite a history going all the way back to the original Perceptron. Marvin Minsky slammed the Perceptron in 1969 for not being able to solve the XOR problem and anything that was not linearly separable, so "Artifical Intelligence" became a dirty word for a while, only to regain interests in the 1980s. During that time, neural nets were revived, backpropagation used to train them was developed, and as computer technology continued its exponential growth, so did "AI" and what became possible.
Today, there are lots of things we take for granted which would've been considered "AI" 10 or 15 years ago, like speech recognition, for example. I got my starts in "AI" speech recognition back in the late 70s where you had to train the voice models to understand a single human speaker. Today, speech recognition is an afterthought with your Google apps, for example, and no a priori training is needed. Yet this technology is not, at least in general audiences, considered "AI" anymore.
And so, what would be "minimum requirements"? That would depend on whom you ask. And what time. It would appear that that term only applies to technology "on the bleeding edge". Once it becomes developed and commonplace, it is no longer referred to as AI. This is true even of Neural Nets, which are dominant in data science right now, but are referred to as "machine learning".
Also check out the lively discussion on Quora.