  Artificial intelligences (AI) are increasingly being embodied and embedded in
the world to carry out tasks and support decision-making with and for people.
Robots, recommender systems, voice assistants, virtual humans - do these
disparate types of embodied AI have something in common? Here we show how they
can manifest as "socially embodied AI." We define this as the state that
embodied AI "circumstantially" take on within interactive contexts when
perceived as both social and agentic by people. We offer a working ontology
that describes how embodied AI can dynamically transition into socially
embodied AI. We propose an ontological heuristic for describing the threshold:
the Tepper line. We reinforce our theoretical work with expert insights from a
card sort workshop. We end with two case studies to illustrate the dynamic and
contextual nature of this heuristic.
