Absolutely agreed that whatever instrumental human values that we think about explicitly enough to encode into our machines (like not killing passengers or pedestrians while driving from point A to point B), or that are implicit enough in the task itself that optimizing for performing that task will necessarily implement those values as well (like not crashing and exploding between A and B) will most likely be instantiated in machine intelligence as we develop it.
Agreed that if that's the rule rather than the exception -- that is, if all or almost all of the things we care about are either things we understand explicitly or things that are implicit in the tasks we attempt to optimize -- then building systems that attempt to optimize those things, with explicit safety features, is likely to alleviate more suffering than it causes.
Here is another example of an outsider perspective on risks from AI. I think such examples can serve as a way to fathom the inferential distance between the SIAI and its target audience as to consequently fine tune their material and general approach.
via sentientdevelopments.com
This shows again that people are generally aware of potential risks but either do not take them seriously or don't see why risks from AI are the rule rather than an exception. So rather than making people aware that there are risks you have to tell them what are the risks.