Chess as a Testing Grounds for the Oracle Approach to AI Safety
  To reduce the danger of powerful super-intelligent AIs, we might make the
first such AIs oracles that can only send and receive messages. This paper
proposes a possibly practical means of using machine learning to create two
classes of narrow AI oracles that would provide chess advice: those aligned
with the player's interest, and those that want the player to lose and give
deceptively bad advice. The player would be uncertain which type of oracle it
was interacting with. As the oracles would be vastly more intelligent than the
player in the domain of chess, experience with these oracles might help us
prepare for future artificial general intelligence oracles.
