A core goal of the private beta is to generate high-quality content that will attract experts. We are also given the opportunity to invite experts by email to the private beta. My question is simple: exactly what kind of experts are we trying to attract?
According to this question , data science and the implementation of artificial intelligence are off-topic. The problem is that we don't want to become a duplicate of Stats or Data Science SE. The question links to this answer on Area 51 which says that this site is for questions in the "academic humanities arena". This seems to suggest that we want experts in academic humanities.
However, most experts in the field of artificial intelligence are experts of implementation. They are applied mathematicians and computer scientists who are trying to make artificial intelligence a reality. The recent advances in artificial intelligence, like Alpha Go, have been the result of breakthroughs in implementation.
If this site is about humanities-style questions about Artificial Intelligence, then what appeal does it have to the type of people who created Alpha Go, who are primarily computer scientists and mathematicians? I'm not convinced they have special expertise about the ramifications of Artifical Intelligence on human society, politics, law, etc.
Perhaps we need to redefine what this site is about. I think a place to look for inspiration is Math SE and MathOverflow. One is about mathematics at any level, while the other is a site for research level mathematicians. Maybe Artificial Intelligence SE should be to Data Science SE and Stats SE what MathOverflow is to Math SE. That is, it should be a site about tackling research level AI problems with the tools of data science and statistics.
This means that we'll have to seriously elevate the quality of our questions and answers to attract real AI experts. But at least we'll have experts to attract.