  The integration of Large Language Models (LLMs) in social robotics presents a
unique set of ethical challenges and social impacts. This research is set out
to identify ethical considerations that arise in the design and development of
these two technologies in combination. Using LLMs for social robotics may
provide benefits, such as enabling natural language open-domain dialogues.
However, the intersection of these two technologies also gives rise to ethical
concerns related to misinformation, non-verbal cues, emotional disruption, and
biases. The robot's physical social embodiment adds complexity, as ethical
hazards associated with LLM-based Social AI, such as hallucinations and
misinformation, can be exacerbated due to the effects of physical embodiment on
social perception and communication. To address these challenges, this study
employs an empirical design justice-based methodology, focusing on identifying
socio-technical ethical considerations through a qualitative co-design and
interaction study. The purpose of the study is to identify ethical
considerations relevant to the process of co-design of, and interaction with a
humanoid social robot as the interface of a LLM, and to evaluate how a design
justice methodology can be used in the context of designing LLMs-based social
robotics. The findings reveal a mapping of ethical considerations arising in
four conceptual dimensions: interaction, co-design, terms of service and
relationship and evaluates how a design justice approach can be used
empirically in the intersection of LLMs and social robotics.
