  When AI agents don't align their actions with human values they may cause
serious harm. One way to solve the value alignment problem is by including a
human operator who monitors all of the agent's actions. Despite the fact, that
this solution guarantees maximal safety, it is very inefficient, since it
requires the human operator to dedicate all of his attention to the agent. In
this paper, we propose a much more efficient solution that allows an operator
to be engaged in other activities without neglecting his monitoring task. In
our approach the AI agent requests permission from the operator only for
critical actions, that is, potentially harmful actions. We introduce the
concept of critical actions with respect to AI safety and discuss how to build
a model that measures action criticality. We also discuss how the operator's
feedback could be used to make the agent smarter.
