  The increasing capabilities of artificial intelligence (AI) systems make it
ever more important that we interpret their internals to ensure that their
intentions are aligned with human values. Yet there is reason to believe that
misaligned artificial intelligence will have a convergent instrumental
incentive to make its thoughts difficult for us to interpret. In this article,
I discuss many ways that a capable AI might circumvent scalable
interpretability methods and suggest a framework for thinking about these
potential future risks.
