Evaluating artificial systems for signs of consciousness is increasingly
becoming a pressing concern, and a rigorous psychometric measurement framework
may be of crucial importance in evaluating large language models in this
regard. Most prominent theories of consciousness, both scientific and
metaphysical, argue for different kinds of information coupling as a necessary
component of human-like consciousness. By comparing information coupling in
human and animal brains, human cognitive development, emergent abilities, and
mental representation development to analogous phenomena in large language
models, I argue that psychometric measures of intelligence, such as the
g-factor or IQ, indirectly approximate the extent of conscious experience.
Based on a broader source of both scientific and metaphysical theories of
consciousness, I argue that all systems possess a degree of consciousness
ascertainable psychometrically and that psychometric measures of intelligence
may be used to gauge relative similarities of conscious experiences across
disparate systems, be they artificial or human.

评估人工系统是否存在意识的问题日益成为关注焦点，而严格的心理测量框架对于评估大型语言模型在此方面的重要性至关重要。本文通过将人类和动物大脑的信息耦合、人类认知发展、新兴能力和心理表征发展与大型语言模型的类似现象进行比较，以心理测量智力的方式，间接估计意识体验的程度。相较于广泛的科学与形而上学意识理论，本文认为所有系统在心理测量上拥有一定程度的意识，智力的心理测量可能用于衡量异类系统（无论是人工还是人类）之间意识体验的相对相似性。