Low Impact Artificial Intelligences
  There are many goals for an AI that could become dangerous if the AI becomes
superintelligent or otherwise powerful. Much work on the AI control problem has
been focused on constructing AI goals that are safe even for such AIs. This
paper looks at an alternative approach: defining a general concept of `low
impact'. The aim is to ensure that a powerful AI which implements low impact
will not modify the world extensively, even if it is given a simple or
dangerous goal. The paper proposes various ways of defining and grounding low
impact, and discusses methods for ensuring that the AI can still be allowed to
have a (desired) impact despite the restriction. The end of the paper addresses
known issues with this approach and avenues for future research.
