> Each of the crashes that self-driving cars can be fixed and prevented from happening again. The list I gave are human flaws that will almost certainly never be fixed.
Not if you put neural networks / deep learning in the equation. This stuff is black boxes connected to black boxes, that work fine until they don't, and then nobody knows why they failed - because all you have is bunch of numbers with zero semantic information attached to them.
Neural Networks are only a small part of self driving car algorithms. The planning and sensor fusion etc. is usually not done with deep learning (for this reason). Only visual detection, because we have nothing else working better in this realm. But lidar, radar, sonar, what have you all work without any deep learning. The decision making on a high level is also without deep learning.
The only questionable parts will be where the vision system fails, and those are similar actually to human problems. Because human vision also often fails (sunlight on windshield, lack of attention, darkness, etc.)
Not if you put neural networks / deep learning in the equation. This stuff is black boxes connected to black boxes, that work fine until they don't, and then nobody knows why they failed - because all you have is bunch of numbers with zero semantic information attached to them.