Also, remember that AI includes more than NN. You can use some other models, as a Linear Regression or a Random Forest which are perfectly explainable.
[0] https://christophm.github.io/interpretable-ml-book/neural-ne...
Also, remember that AI includes more than NN. You can use some other models, as a Linear Regression or a Random Forest which are perfectly explainable.
[0] https://christophm.github.io/interpretable-ml-book/neural-ne...
My question was more towards people who are actively using NN as a solution and _have_already_ shipped products in a 'regulated' industry.
The products are obviously out there, so to me it is confusing what evidence can a team provide at this point in time (with the current NN implementations) in order to get a product using NN (with a non-deterministic uncertainty) approved by a regulatory body? (automotive, medical, etc.)
Examples that jump to mind are Tesla's stereovision sub-systems (I am assuming NN are used), or NN based medical imaging classifier software (NN instead of Clustering or SVM techniques)
https://blog.foretellix.com/2017/07/06/where-machine-learnin...