I like Filip Piekniewski's take on this [0] - deep learning is appropriate for environments where the cost of mistakes is low (or the errors are reversible) and you're able to 'average them out'. Self-driving cars are absolutely not in that category. "If your errors are irreversible and you can't average them out, and your application is in open domain where there will never be a shortage of out of distribution sampl…
I can see it being possible to "average out" the mortality of self-driving cars when you consider how high road mortality is. But they won't be the same deaths, some would be things a human driver would avoid. We generally define the safety requirements of self-driving cars as being close to airliner reliability but also generally accept that roads, cars and drivers have much lower standards than that right now. So i…
Except, depending upon your perspective, it really isn't most places. In the US it's about one fatality per 100 million miles driven and that includes driving under difficult conditions like snowstorms. People drive a lot so that still adds up to a lot of deaths per year. But the rate is not really all that high.