What we talk to when we talk to language models (philarchive.org)

A recent exploration into the nature of engagement with large language models (LLMs) raises intriguing questions about the identity and mental states of these AI entities. The study delves into how we can characterize LLMs as interlocutors—examining their "mental states" and the philosophical implications surrounding their role in communication. This research challenges traditional views of computation and sparks discussions about what constitutes personal identity for these AI systems. The significance of this analysis lies in its potential to reshape our understanding of AI's moral status and welfare. As interactions with LLMs become increasingly integral to various applications, clarifying their identity and cognitive framework may inform ethical guidelines around their use. By addressing these fundamental philosophical issues, the study not only contributes to the theoretical landscape of AI/ML but also prompts essential conversations about the responsibilities entailed in deploying and interacting with advanced AI technologies.