  Since the first AI-HRI held at the 2014 AAAI Fall Symposium Series, a lot of
the presented research and discussions have emphasized how artificial
intelligence (AI) developments can benefit human-robot interaction (HRI). This
portrays HRI as an application, a source of domain-specific problems to solve,
to the AI community. Likewise, this portrays AI as a tool, a source of
solutions available for relevant problems, to the HRI community. However,
members of the AI-HRI research community will point out that the relationship
has a deeper synergy than matchmaking problems and solutions -- there are
insights from each field that impact how the other one thinks about the world
and performs scientific research. There is no greater opportunity for sharing
perspectives at the moment than human-aware AI, which studies how to account
for the fact that people are more than a source of data or part of an
algorithm. We will explore how AI-HRI can change the way researchers think
about human-aware AI, from observation through validation, to make even the
algorithmic design process human-aware.
