I completely agree with the assertion that the grey area in between is where a bunch of people are going to wind up dead.
It remains to be seen if a automated drivers can make-up for increased risk in such scenarios with good performance in areas they excel, such as reaction time, highly distributive attention, near perfect physical predictions and decisions made on that basis, vehicle-to-vehicle coordination and vehicle to road communication etc.
What is clear though is that any practical system in the near term (non-general AI) will approach driving quite differently than a human driver. Hence the jury is still out of lidar vs camera-only approaches (Waymo vs Tesla).
But will more people end up dead than in the scenario where we had no ‘self-driving’ cars at all?
Humans are much more accident prone than robots in all the research on this I’ve seen.
If you want to reduce deaths, I think you really want to invest in things like automatic emergency braking, monitoring driver attention, and safely stopping the vehicle if the driver is incapacitated. Having the computer supervise the human means the human is engaged in driving and aware of the circumstances for the most part; a computer supervising a human can act with great speed if the situation warrants, but a human supervising a computer is likely not to react so quickly.
Take a hypothetical scenario where self-driving cars reduce deaths by 10x compared to now, but the deaths caused by self-driving cars are all small children and people with darker skin in human-preventable ways (you can imagine if cameras are used why this could happen). I doubt society would accept this tradeoff.
The safer future is to have humans still drive, but be enhanced by computers and cameras that are installed in the car.
Robotic drivers will probably need to demonstrate at least an order of magnitude improvement in safety before they can be accepted by the public.
Uber should be partially at fault since they deactivated the automatic emergency braking.
Yes, I agree when vehicles become fully autonomous, people will be less attuned to the environment, but in this case, the person was hired specifically to pay attention at all times.
https://news.sky.com/story/uber-safety-driver-charged-over-d...
Not to victim blame but if they were not wearing lights or a reflective vest I think a human could have made the same tragic error.
As you point out the system actually DID detect them.
The Uber vehicle IIRC didn’t abandon control when it saw the pedestrian, it did so (if ever) when it determined that it couldn’t avoid them... So the vehicle had more and better information about the situation.
“Failing to the driver only works when it’s not helpful.“
IMO, killing someone with a car or a gun is a direct equivalent.
Blurring the lines of accountability is an anti-feature. The killer feature for humans is that we can be held accountable.
In California for example vehicular manslaughter is specifically excluded from involuntary manslaughter and carries a lower penalty. It is also frequently just a misdemeanor.
In reality, there is no spectrum of automated driving, with the human doing less and less. Driving is not an instantaneous activity like swimming, it requires planing and strategizing, the decisions made in the past influence situational awareness. I plan an overtake maneuver based on a myriad factors and have escape routes already planned if things don't go well.
When the automated driver fails a human driver cannot be expected to just drop in and correct the mistakes - by that time, they are uncorectable and the ramp-up time of the human driver far exceeds the available time in most real life situations. In the overtake example, if the autopilot fails when a 20 ton truck is approaching, I have no recourse, I have no idea if an attempt to brake and regroup will be successful because I did not plan the maneuver. Therefore, computer drivers cannot be allowed to fail in such a scenario.
In practice, there are only two real levels: 1. autonomous; and 0. non-autonomous, with various automation that helps the driver, while he remains fully in control and the sole decision maker. What can constitute a self-driving spectrum is the type of road where full automation is expected to work: from restricted and instrumented roads, where only other similar vehicles are allowed, for the dumbest self-driving modes, and up to full self-driving on general purpose roads mixed with human drivers and pedestrians.
But the idea that you can achieve level 5 self driving by incrementally improving the systems designed to aid the driver is a dangerous pipe dream.