  The foundation of successful human collaboration is deeply rooted in the
principles of fairness. As robots are increasingly prevalent in various parts
of society where they are working alongside groups and teams of humans, their
ability to understand and act according to principles of fairness becomes
crucial for their effective integration. This is especially critical when
robots are part of multi-human teams, where they must make continuous decisions
regarding the allocation of resources. These resources can be material, such as
tools, or communicative, such as gaze direction, and must be distributed fairly
among team members to ensure optimal team performance and healthy group
dynamics. Therefore, our research focuses on understanding how robots can
effectively participate within human groups by making fair decisions while
contributing positively to group dynamics and outcomes. In this paper, I
discuss advances toward ensuring that robots are capable of considering human
notions of fairness in their decision-making.
