You're completly right: the real problem is not telling upfront what is the "ideology" (really: the training set) of the AI ! For an "AI" to be really usefull,

You're completly right: the real problem is not telling upfront what is the "ideology" (really: the training set) of the AI ! For an "AI" to be really usefull, it should be clear what datas made it, what bias was in the datas. Every society, every community, has bias... and it's a good thing ! The diversity of bias is what make the cultural richness, the difference of point of views. Moreover, as a culture is usually a consistent set, it means that different culture provide different consistent sets of options... So, let's keep using biased IA... but let's explicit, discuss, acknowledge their bias (entry datas set) not to AVOID them (not technically possible and not humanly good) but to ensure that the right bias (wrt to the view of the society on the problem is) is used ! And let's stop trying to find an "universal" AI that could please everybody in every situation - like a kind of omniscient oracle or god - but let's build "specific customisable/adaptable AI" instead