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Ultimately ML will always be just one part of a bigger system. And ML research will always just be one slice of the lifecycle of that system (often the easiest and least problematic part). The problems arise when the entire system meets the real world.
By that point, you can't isolate ML research as the source of the issues. You have to fix the entire system.
Delineating an area of business, or even Government, there is undeniably a market for. Could be autoparts, could be medicine. It's all about wooing the powers that be and showing them ML is useful for autoparts (supply lines) or medicine (epidemics).
Precisely, and safety issues with systems containing ML components is actually not due to that fact these components are trained on data, but rather because they enable to achieve tasks which are too hard to model simply.
and that entire system is Society?
No one knows to fix society, it evolves 
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