It will take perhaps 1-2 years to build up a model to explain certain experiment in traditional way, with machine learning could shorten it to 1-2 month. My concern: could this be like curve fitting with infinite # of parameters.
The reality is if the machinine-learning-built model can predict other things which could be verified later or explain other experiements too, why should anyone care too much how it is labeled.