The problem described in the article is taken into account when building systems (like autonomous cars) using neural networks.
Where can I find more information on this?
Where can I find more information on this?
Keywords are "control theory", "sensor fusion", "automated decision under uncertainty" that you can look on Google, Wikipedia and arXiv. Also "Simultaneous localization and mapping" which is a good example of using uncertain data points from different sensors to build a representation of the reality.
In those systems, a neural network is just another sensor providing augmented information.
Edit: I need to rephrase, the interesting case for me ( and the one the article is describing) is when the model fails with accurate input data due to assumptions that are intrinsic to the model itself.