You can turn this around though. It's harder to teach the AI, sure. But once you've taught it, it stays taught. With humans you have to deal with the continuall

You can turn this around though. It's harder to teach the AI, sure. But once you've taught it, it stays taught. With humans you have to deal with the continually renewing stream of young people who are new to driving. > And "add some partial blockage by a vehicle in the lane, retrain the AI, and then redeploy it" isn't a proper answer... wouldn't that be a different model AI that would need to be validated again? You're the one adding unnecessary constraints here. If the validation process harms more than helps, you don't do it. In all likelyhood the correct validation process is something lightweight that can be done quickly for simple changes. This sort of training process is likely to be a continuous process, they're always ingesting new data, trying to learn how to drive better from it (and keep up with how patterns in the world change), and therefore continually deploying new models. Because that makes driving safer overall. Not a "this bad thing happened so let's figure out how to put out a bugfix for it".