Earlier quoted context omitted.
Imagine if algorithmic accidents had biases. For example, let's say a car tended to crash into children (maybe they are harder to detect with cameras), more often than adults. This type of algorithmic bias would be unacceptable no matter how safe FSD were on aggregate. So you're right, the only bar to reach is perfection (which is impossible), because algorithmic errors have biases that will likely deviate from human…
> let's say a car tended to crash into children (maybe they are harder to detect with cameras), more often than adults This is already true today of human drivers because of the tall SUVs that are so popular. Do you think matching biases will be acceptable?
I'd say, absolutely not. The only way we'd accept that is if the kid darted out before the vehicle could slow down, and even then we'd expect super human braking to (hopefully) avoid serious injury.
Also, self driving cars have and advantage that they can put cameras in places typical drivers eyes aren't. They should be able to see a lot more than you can from the driver's seat.