So sample testing strategies I'd use are for example teaching the respondent in the test a simple game and plying it with them, then asking them to propose new rules to modify the game and why they chose those rules. Teach the respondent a simple language with made-up words and odd grammar and ask them to ask me questions in it and make up words of their own. Tell the respondent a story and ask them questions about the motivations and relationships between characters and how they change, ask the respondent to make up a conclusion or sequel to the story, and then re-tell the story from the point of view of one of the incidental characters. Testing for intelligence isn't all that hard.
I'm aware there are varying versions of the test. I'm not really interested in exactly emulating humans and testing for that, I'm more interested in capabilities that denote intelligence and testing for those.
It seems that there are people for which the mere perspective that strong AI may never happen, or would not have a profound impact if it did, is enough to make them feel uncomfortable.
Edit: Ironically enough, the other one is up and now this one is downvoted. Just to be clear though; this is not a facetious comment. I am truly fascinated about the motivations behind these reactions.
1960s Herbert Simmons predicts "Machines will be capable, within 20 years, of doing any work a man can do."
1993 - Vernor Vinge predicts super-intelligent AIs 'within 30 years'.
2011 ray Kurzweil predicts the singularity (enabled by super-intelligent AIs) will occur by 2045, 34 years after the prediction was made.
So the distance into the future before we achieve strong AI and hence the singularity is, according to it's most optimistic proponents, receding by more than 1 year per year. So I predict that when we get to 2045 strong AI will be on the slate to be achieved by about 2090.
edit - I am not in any way denying the achievability of strong AI. I do believe it will happen. I just don't think we currently have any idea how or when.