| I'm fascinated by the accidents. The AV is stopped at a light. Someone rear-ends it. Minimal damage. Probably similar accidents are occurring every minute between human drivers, going unreported as the rule. AVs might one day even avoid this "victimization," if these events keep following a predictable pattern. AVs could exaggerate the gap, leave a precisely calibrated amount of extra space. When anticipating a rear end collision, the AV would honk and flash brake lights while scooting forward. Google's absolutely correct that its AVs are never at fault in any of these accidents, legally speaking. Does blame change though if there are ways the AI can prevent this series of similar accidents, but they choose not to? The AV yields to those running a red light, even though getting t-boned wouldn't legally be the AV's fault. That seems wise to me. Is it inconsistent to expect the AV to avoid getting t-boned, but not expect it to avoid getting rear-ended? I'm not sure... Or, more broadly: How do you divide blame between two parties when one has superhuman faculties? Is the AI responsible for everything it could have conceivably been programmed to prevent? Or do you just hold it to a human standard? Like all hard problems, neither extreme is very satisfying. |
One of the things we found was: If one team has great collision avoidance and the other team has no collision avoidance, the team without collision avoidance always wins. When there's a contest for the ball the team without collision avoidance just blasts in there, and when the team with collision avoidance back off to avoid a collision they lose the ball.
If autonomous cars were so good at avoiding accidents that you could merge aggressively and they'd always brake, and run red lights in front of them and they'd always stop, manual drivers might learn to do that.
Riding in a Google autonomous vehicle would be a pretty shitty experience if you knew you'd get four or five emergency stops in every journey when assholes decide to cut you up :)