Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks

Consciousness is a defining feature of the human mind, and as large language models (LLMs) advance, questions about their potential for consciousness become pressing. This paper clarifies commonly confused terms like LLM consciousness and awareness, then systematically reviews existing theoretical and empirical research on the topic. It also highlights potential frontier risks that conscious LLMs might pose, discusses current challenges, and outlines future directions for this emerging field.

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Abstract

Consciousness stands as one of the most profound and distinguishing features of the human mind, fundamentally shaping our understanding of existence and agency. As large language models (LLMs) develop at an unprecedented pace, questions concerning intelligence and consciousness have become increasingly significant. However, discourse on LLM consciousness remains largely unexplored territory. In this paper, we first clarify frequently conflated terminologies (e.g., LLM consciousness and LLM awareness). Then, we systematically organize and synthesize existing research on LLM consciousness from both theoretical and empirical perspectives. Furthermore, we highlight potential frontier risks that conscious LLMs might introduce. Finally, we discuss current challenges and outline future directions in this emerging field. The references discussed in this paper are organized at https://github.com/OpenCausaLab/Awesome-LLM-Consciousness.