  Several social factors impact how people respond to AI explanations used to
justify AI decisions affecting them personally. In this position paper, we
define a framework called the \textit{layers of explanation} (LEx), a lens
through which we can assess the appropriateness of different types of
explanations. The framework uses the notions of \textit{sensitivity} (emotional
responsiveness) of features and the level of \textit{stakes} (decision's
consequence) in a domain to determine whether different types of explanations
are \textit{appropriate} in a given context. We demonstrate how to use the
framework to assess the appropriateness of different types of explanations in
different domains.
