>> There are already videos of assisted-driving cars avoiding accidents
I'm not concerend about assisted driving. I'm concerned about fully autonomous cars being handed complete control in real-world situations.
I'm not just "concerned" about them- they scare the hell out of me.
>> Many being scenarios that Google's self-driving cars have the technology to avoid.
What Google says it programs its cars to do, what it really programs its cars to do and what its cars can really do are all separate things.
The problem is that the current technology level is nowhere near advanced enough to allow fully autonomous vehicles to operate safely. There is a huge number of situations that those cars aren't programmed for, that they can't be programmed for, because those situations are completely unforseeable.
Machine learning has a huge problem with data sparsness. You may train a learner in petabytes and petabytes of data collected from the real world and still miss the vast majority of events that may occur.
That is why, like I say elsewhere, machine learning-based AI makes utterly ludicrous mistakes that humans would never do, even in difficult situations were they can't be expected to perform with 0% error. I've used a few metaphors- here's another one: a human would never mistake a truck for a cucumber. A machine learning algorithm, might.
And what's worse, there's no way to prevent this sort of mistake, or even correct it, because most of the time the models built by such algorithms are simply too complex to be processed by humans in the way a hand-crafted system would be (and goddess knows how hard those can be to process).