That's seems to be an inefficient approach.

Even if you accept the premise that you can "teach" rationality to AI researchers capable of building an AGI (who probably would not be idiots, but they might be indeed affected by biases), doing so it's still an extremenly unfocused way to accomplish the task of advancing the state of the art on machine ethics.

If you want to advance the state of the art on machine ethics, then the most efficient way of doing it is to do actual research on machine ethics. If AI researchers don't take machine ethics as seriously as you think they should, then the most efficient way to convince them is to put forward your arguments in forms and media accessible and salient to them.

Once you go for peer review, you may receive negative feedback, of course. That might mean two things: That your core claims are wrong, in which case you should recognize that, stop wasting your efforts and move to something else, or that your arguments are uncompelling or unclear, in which case you should improve them, since it is your responsibility to make yourself understood.