This common sense of danger is what IAs must have before we can trust them on the streets.
For instance in the Uber fatal crash: the IA correctly labelled the cyclist as a cyclist several times then revised its judgment, then definetely labelled it as a cyclist but “oops too late”. A human would be like “wait, I think I saw a cyclist, slow down and figure out what this really was”. Obviously with the current computer vision technology you cannot do that, otherwise your car would be afraid of everything and refuse to even start, because there's way too much mislabelling happening at some point or another.
This explains why there are only 5.25 million car accidents a year in the US.
I don't know how many automated vehicle Uber has, but with one killed already the ratio is a few orders of magnitude worse for their automated vehicle than for the average driver in the US. (probably even way worse than the average drunk driver actually)
And people would not drive into a river passing through multiple barriers, just because their GPS says so.
https://theweek.com/articles/464674/8-drivers-who-blindly-fo...
https://indianexpress.com/article/trending/bizarre/driver-in...