I would assume that in a military setting (as it is in most bureocratic/management settings) a solution like this has the immense advantage that one can precisely determine the source of any one error to a specific requirement/rule.

It is very hard to ask for management to trust a system they know nothing about, where they have literally no control over final behaviour, even if in the end it will perform better overall. In a rule-based system, instead, it is always possible to make adjustments and blame mistakes very efficiently to specific causes.

I guess this is the main reason why "true" AI is currently being used mostly in information fields, rather than on physical machines and engineering. No-one would know how to deal with the outcome of a fuzzy learned algorithm making the wrong decision. This is also a reason why autonomous cars are very interesting to me, even though I bet they are still full of ad-hoc rules in order to have a layer of "manageability" over the overall system.