That's a reasonable expectation. But in as much as one can expect AI researchers to have gone through this exercise in the past (this is where the problem is, I think), the data is apparently not predictive. Kaj Sotala and Stuart Armstrong looked at this in some detail, with MIRI funding. Some highlights:
"There is little difference between experts and non-experts" "There is little difference between current predictions, and those known to have been wrong previously" "It is not unlikely that recent predictions are suffering from the same biases and errors as their predecessors"
http://lesswrong.com/lw/e36/ai_timeline_predictions_are_we_getting_better/ https://intelligence.org/files/PredictingAI.pdf
In other words, asking AI experts is about as useless as it can get when it comes to making predictions about future AI developments. This includes myself, objectively. What I advocate people do instead is what I did: investigate the matter yourself and make your own evaluation.
It sounds to me as though you are aware that your estimate for when AI will arrive is earlier than most estimates, but you're also aware that the reference class of which your estimate is a part of is not especially reliable. So instead of pushing your estimate as the one true estimate, you're encouraging others to investigate in case they discover what you discovered (because if your estimate is accurate, that would be important information). That seems pretty reasonable. Another thing you could do is create a discussion post where you lay out the spec...
Cross-posted from my blog.
Yudkowsky writes:
My own projection goes more like this:
At least one clear difference between my projection and Yudkowsky's is that I expect AI-expert performance on the problem to improve substantially as a greater fraction of elite AI scientists begin to think about the issue in Near mode rather than Far mode.
As a friend of mine suggested recently, current elite awareness of the AGI safety challenge is roughly where elite awareness of the global warming challenge was in the early 80s. Except, I expect elite acknowledgement of the AGI safety challenge to spread more slowly than it did for global warming or nuclear security, because AGI is tougher to forecast in general, and involves trickier philosophical nuances. (Nobody was ever tempted to say, "But as the nuclear chain reaction grows in power, it will necessarily become more moral!")
Still, there is a worryingly non-negligible chance that AGI explodes "out of nowhere." Sometimes important theorems are proved suddenly after decades of failed attempts by other mathematicians, and sometimes a computational procedure is sped up by 20 orders of magnitude with a single breakthrough.