"The problem with making AIs want – and ultimately do – the exact, complicated things that humans want is a major facet of what’s known as the “AI alignment problem.” It’s what we had in mind when we were brainstorming terminology with the AI professor Stuart Russell back in 2014, and settled on the term “alignment.” Most everyone who is building AIs, however, seems to be operating as if the alignment problem doesn’t exist – as if the preferences the AI winds up with will be exactly what they train into it. This assumption lurks in the background whenever someone says, “The USA needs to build superintelligence before China, because we don’t trust China,” as if the factional allegiance of whoever ran the gradient descent determined what the resulting AI wanted."