In my experience working with critical hardware and software with sensors, I believe this is pretty much settled, because those components are fixed and well known.

We know with precision how to maintain those, the rate of failure and audit or overhaul times. In fact, right know sensors could "call home" when there is a problem.

The heart of the matter is what is not known, like the wild board getting in the road, or a cyclist that appears from the side, or the road is wet, there is ice or snow on the road.

Usually what happens for accidents is all of the above, like it is dark(you don't see cars but specular reflections of lights), it is wet, there is ice and snow and a cyclist appears out of nowhere.

Those things are extremely unknown and hard to model, and AI does not work there.