Wow, I had thought it impossible for the Uber AV to be in the right lane, and for the victim to be crossing left-to-right, for the police to claim that the victim couldn't be seen until it was too late. But I didn't expect the road to be so dark, given what we saw in the accident photos (which might have been over-exposed?) and Google Maps, which showed a lot of street/sidewalk lighting.
In the moment that we can fully see her, she does look unambiguously like a person walking a bike across the road (reports say there were plastic bags on the bike, but they weren't obvious/obstructive in the camera view). Is the AV's LIDAR expected to detect this kind of thing, even if it's too dark for human eyes?
The video of the Uber driver doesn't look great for the driver. I mean she doesn't look particularly engaged -- but I suspect that's what most of us would look like at the wheel. But she definitely seems to be looking downwards, right at the moment of impact.
Unless some other incriminating info is discovered, I hope that the driver isn't the sole focus of punishment (doesn't help that she's a convicted armed robber, albeit years ago). Being able to brake in time for the victim seems difficult even in most ideal and alert conditions. And I have to think human operators are going to suffer complacency when 95-99% of the time they never have to actually drive -- making that switch seems to be a situation ripe with problems.
I don't mean that Uber execs/testers/engineers (again, assuming there isn't other incriminating evidence) should be scapegoats. I hope the result involves regulations that add more transparency to reporting (especially in Arizona), and public debate about the expectations of AV and AI.