I prefer to deal with organic entities through education -- show them why what they are claiming is wrong (in your opinion). If they can't (or won't) "see the light", then write them off.
Organic entities can (should?) learn and come up with original thought ("creation"). AIs are just regurgitating what they have seen in ways that *seem* to manifest patterns. There is no "intelligence" there beyond a high capacity to see EXISTING patterns.
I don't give AIs that benefit of the doubt. If an AI does something wrong, I fix *that* without bothering to explain the issue: "it's not my job to teach you"
This, because you have no way of gauging the AIs ability to learn (much like an organic entity that can't/"refuses" to learn).
The AIs in my project primarily take the form of Production Systems. This, so a "human" can understand the conclusions it has reached.
And, DISCOUNT THEM (if he/she disagrees with them).
I make no attempt to *directly* inform the AI of this action -- my reasons for doing so (i.e., the faults in *its* apparent assumptions). If the existing production set is unaltered, it may (or may not!) come to the same conclusion, again, at a future date.
And, *that* can similarly be discarded/discounted. (assuming it still remains invalid)
OTOH, it may NOT reach the same conclusion and, instead, come up with a different recommendation -- that ends up being accepted. Which alters the system's behavior and the deductions that will be made, going forward.
[This all being predicated on letting it "see" only the things that are pertinent to the problem space; a fault there means a flaw in the agent's design!]