ABSTRACT
AI technologies may reach the threshold of rapid, open-ended, recursive improvement before we are prepared to manage the challenges posed by the emergence of super-intelligent AI agents. If this situation occurs, then it may become critically important to employ methods for reducing AI risks until more comprehensive solutions are both understood and ready for implementation. If methods for risk reduction can contribute to those comprehensive solutions, so much the better.
