We don't know how to delineate between safe and unsafe instructions.
If you gave a car to a c. 1200 French blacksmith, and maintenance instructions were written in Navajo, it would probably start off fine, but when it went wrong it would be catastrophic and unexpected.
We also don't (in an engineering sense) know how to delineate between safe and unsafe reinforcement learning at training time, to produce models with safer or less safe failure modes.
This would be like if the car given to the medieval blacksmith had been constructed by someone motivated as much by aesthetics as by engineering, and therefore used arsenic paint, or mercury as engine lubricant.