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I don't think anyone seriously believes it's an end-to-end neural network. The person who said that has somewhat of a credibility problem.

I am someone and I believe it's an end-to-end neural net.

I hope you are wrong because an end-to-end neural net can NEVER be safe.

Although maybe I hope you are right because it can be proven to be unsafe and shut down.

It's not a total black box. Even as the driver you have the speed profiles, follow distance, and speed limit settings. I wouldn't be surprised if they still have deterministic code for how to handle traffic lights.

You can increase the penalty for running a red or increasing the relative sample of red light stops present in the real and synthetic training data. You can use neural net analysis techniques to confirm that features like color and stoplights are being recognized.

You confirm it is fixed by ensuring your validation set also has sufficient data representing the failures (and that they now succeed).