  This article is a primer on concept extrapolation - the ability to take a
concept, a feature, or a goal that is defined in one context and extrapolate it
safely to a more general context. Concept extrapolation aims to solve model
splintering - a ubiquitous occurrence wherein the features or concepts shift as
the world changes over time. Through discussing value splintering and value
extrapolation the article argues that concept extrapolation is necessary for
Artificial Intelligence alignment.
