The recent development of large language models (LLMs) and improvements in speech recognition have made it realistic to envision AI-driven robots replace humans in debates, or even debating with each other. One application area is politics, where debating robots could support human politicians and, in principle, they could also debate on their own. However, political debating are highly complex and is often guided by values and ideologies, rather than rational decisions based on explicit facts.
In this paper we discuss how introducing appropriate bias into an LLM can be a way to accomplish this. As a simple proof of concept, we present a novel system of three robots conducting verbal debates on selectable topics. The robots are driven by the LLM GPT-3.5, and the desired political view, level of knowledge, and speaking style of each robot are configurable. The results demonstrate how LLMs may be used to argue both for and against different standpoints in debates, and how the output arguments depend on a programmed bias reflecting desired values and ideological principles.