Metacognitive Closure and Consciousness in Large Language Models
Proceedings of the AAAI Symposium Series May 18, 2026 DOI: 10.1609/aaaiss.v8i1.42569 via OpenAlex
Summary
Metacognition supports judgment and robust cognition, but its role in consciousness is debated. Some researchers view metacognition as an extra mechanism built on basic processes, needed for reflecting on and reporting experiences, while others see it as integral to phenomenal consciousness, potentially addressing the hard problem. This paper argues that disagreements about whether large language models can possess consciousness, and about the nature and plurality of consciousness, persist due to unresolved issues. The authors introduce metacognitive closure, analogous to Colin McGinn's cognitive closure, suggesting that difficulties in explaining consciousness may be clarified by analyzing metacognition. They propose that problems in consciousness and cognition form a continuous spectrum that can be streamlined through this lens.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Metacognition Consciousness Judgement Information processing Mechanism biology |
| Key finding | Disagreements about consciousness in large language models and the nature of consciousness may be clarified by analyzing metacognition and introducing the concept of metacognitive closure. |
Abstract
Metacognition is an important aspect of information processing in the brain, subserving judgement and making cognition robust. In the literature, there are different views on the role metacognition plays in consciousness. The role of meta-cognition has been addressed by various studies. In relation to consciousness, some authors argue that metacognition is not necessarily essential in consciousness, but rather an extra mechanism constructed on a more basic mechanism, necessary when reflecting on and reporting one's own experiences. Others hold that metacognition is an integral part of phenomenal consciousness, possibly accounting for the hard problem of consciousness eventually. We aim to clarify why no consensus has been reached on whether large language models can possess consciousness, and why diverse and competing posi-tions persist regarding the nature and plurality of conscious-ness. On the strength of the analysis, we propose metacognitive closure, a concept analogous to Colin McGinn’s cognitive closure. We discuss the possibility that difficulties in elucidating mechanisms of consciousness might be clarified by considering the nature of metacognition. Based on this view, we argue how we may be able to streamline issues in consciousness through an analysis of metacognition, in a continuous spectrum with problems in cognition in general.