Machine Learning, Optimization, Differentiation, Neural Networks, Control.
the context where the two applies i.e. in a SD framework, ultimately what really matters is the correctness of the output, however in an AD framework, the means of implementation also matters along with the correctness of the output. So in short, in an operational perspective, SD is a careless