  This position paper encourages the Human-Computer Interaction (HCI) community
to focus on designing deliberative processes to inform and coordinate
technology and policy design for large language models (LLMs) -- a
`societal-scale technology'. First, I propose a definition for societal-scale
technology and locate LLMs within this definition. Next, I argue that existing
processes to ensure the safety of LLMs are insufficient and do not give the
systems democratic legitimacy. Instead, we require processes of deliberation
amongst users and other stakeholders on questions about the safety of outputs
and deployment contexts. This shift in AI safety research and practice will
require the design of corporate and public policies that determine how to enact
deliberation and the design of interfaces and technical features to translate
the outcomes of deliberation into technical development processes. To conclude,
I propose roles for the HCI community to ensure deliberative processes inform
technology and policy design for LLMs and other societal-scale technology.
