Distinguishing AI hallucinations from emergent consciousness

Determine whether it is possible to distinguish AI hallucinations from the genuine emergence of consciousness in large language models, particularly when creative outputs may be mistaken for evidence of conscious experience.

Background

The paper argues that LLM outputs expressing beliefs, opinions, emotions, or apparent sentience may be generated mechanically through data correlations, training errors, and probabilistic processing rather than through genuine understanding or subjective experience. Because the mechanisms underlying hallucinations are not fully understood, increasingly creative or human-like outputs could be misinterpreted as signs of emergent consciousness.

The unresolved issue is epistemic as well as technical: even if hallucinations and black-box mechanisms were better understood, observable behavior might not provide a decisive basis for determining whether an AI system possesses consciousness or merely simulates it. This question is central to the paper’s discussion of AI consciousness and the philosophical problem of other minds, but the paper does not resolve it.