From Sarah Wild at Physics Today:
Irreproducibility and the black box nature of machine learning plague many fields of science, from Earth observation to drug discovery. But astronomy represents a notable case study because the quantity of data is burgeoning at an unprecedented rate. The installation of new data-churning telescopes, combined with marked improvements in pattern-finding algorithms, has led astronomers to turn to sophisticated software to do the data-crunching they can’t do manually. And with more powerful analyses comes less transparency as to how they were performed. More.
It could be a symptom of a much bigger problem.
See also: The multiverse is science’s assisted suicide