  Proposals for safe AGI systems are typically made at the level of frameworks,
specifying how the components of the proposed system should be trained and
interact with each other. In this paper, we model and compare the most
promising AGI safety frameworks using causal influence diagrams. The diagrams
show the optimization objective and causal assumptions of the framework. The
unified representation permits easy comparison of frameworks and their
assumptions. We hope that the diagrams will serve as an accessible and visual
introduction to the main AGI safety frameworks.
