  Generative AI models perturb the foundations of effective human
communication. They present new challenges to contextual confidence, disrupting
participants' ability to identify the authentic context of communication and
their ability to protect communication from reuse and recombination outside its
intended context. In this paper, we describe strategies--tools, technologies
and policies--that aim to stabilize communication in the face of these
challenges. The strategies we discuss fall into two broad categories.
Containment strategies aim to reassert context in environments where it is
currently threatened--a reaction to the context-free expectations and norms
established by the internet. Mobilization strategies, by contrast, view the
rise of generative AI as an opportunity to proactively set new and higher
expectations around privacy and authenticity in mediated communication.
