In my mind this accident is on Uber no matter how you interpret the video.
Scenario 1: Lets say the pedestrian was visible to the naked eye and sensors. The model and safety operator still didn't "see" her and act in time. Who to blame? Uber.
Scenario 2: The lighting and environment was in a condition where neither the model nor the safety operator could see the road more than 10 feet in front of the car, yet neither thought it to be irresponsible to go at full speed. Who to blame? Uber.
I believe that:
1. The sensors should have detected the pedestrian from far away even if the lighting was bad at the time. I mean that's sort of the point with autonomous vehicles, that they are better at perceiving their surroundings and can make better decisions on how to act quicker than any human could.
2. The safety operators are not engaged enough in their tasks to be effective. I think people underestimate how boring it must have a job where 99% of the time you should do absolutely nothing other than stare straight ahead and be ready for a situation like this. This problem is hard to solve. Maybe we should be training the model on closed tracks and only release on the real roads when it passes some sort of test where it is put through various scenarios. Like a driving instructor for AIs.
For those of you who think the pedestrian is to blame. I agree that the pedestrian might have made a bad decision by expecting the cars to brake, however these situations occur all the time. She didn't dart across the road or jump in front of the car suddenly. Yesterday I helped an elderly guy across 4 lanes of traffic which took about 1 minute. All you can do in that situation is to hope you are visible to the drivers and that they will stop before running you over.