You can see that here. However, most of the questions here feel rather more on the technological side of artificial intelligence. Those questions are on-topic on Data Science. That site was created as a site for the technological aspect of machine learning and AI, and that is the site that is in the Technology category (see here), in spite of having "Science" in its name.
This was already emphasized by Robert Cartaino on Area 51:
Data Science is an applied site for all the programmers/statisticians/mathematicians who are trying to make this stuff work. [...]
Notice that this proposal is in the 'Science' category; not 'Technology'. [...]
It was convincing enough to give this site another try, but if this site were to simply start reiterating the implementation/tools questions that are already covered elsewhere, this site will not likely make it out of private beta.
I already tried to give a hint where we could find science questions here: Where can we find the science part of Artificial Intelligence? That is one thing we could do: ask more science questions. The other thing we can do, is closing questions. Please do close questions that are highly technological or asking for applications.
I'd like to link some questions that are, in my opinion (but I could be wrong), scientifical :
- How is it possible that deep neural networks are so easily fooled?
- What is the difference between strong-AI and weak-AI?
- What limits, if any, does the halting problem put on Artificial Intelligence?
- Are there any AI that have passed the MIST test so far?
- Has the Lovelace Test 2.0 been successfully used in an academic setting?
- Does the Chinese Room argument hold against AI?
- Do scientists know what is happening inside artificial neural networks?
- Could a Boltzmann machine store more patterns than a Hopfield net?
There are more questions around that are scientifical and high-quality (fortunately), I just picked a few from the first page of the highest voted list.