[ipiz0618]

I also agree on this. I think in terms of liability humans who one can sue when they make a mistake is more valuable than a machine.

That's why in life critical applications companies who are capable of taking the risk are scarce, because when accidents happen, the company has to take responsibility. It cannot be resolved by just firing employees.

[henearkr]

You can fix a software, but you can only punish a human driver, hoping it will fix itself. Also, both can be forced to train, but you can reproducibly test only the software, no guarantee that your retrained human driver will not succomb to the same road rage in the near future.

[redis_mlc]

Nonsense.

You can't fix a model to handle unknowns, and you can't test that.

We've seen with Tesla's autopilot software that things like obsolete road markers and overturned trucks are meaningless to software.

[henearkr]

Of course you can!!

Even in something not very well defined as a neural network, you can try to retrain it, or also to modify its architecture, or its postprocessing, and verify reproductibly on test cases that it behaves better.

Also, to address your critics, you can add test cases (just like in any sotware. But actually they also do exactly that for hardware too).