别纠结AI有没有意识,先研究人类为啥总觉得它有。
AI and Consciousness: Shifting Focus Towards Tractable Questions

- 转而研究人类对AI意识的感知机制,比直接问AI是否清醒更可行。
- 公众已普遍用主观体验词汇描述AI,影响用户体验与伦理标准。
- 适合关注人机关系、伦理政策与认知偏差的研究者参考。
随着基于语言的AI系统愈发拟人化,它们是否具备主观体验的问题日益紧迫。本文认为,直接探讨AI是否具有意识这一根本问题目前尚不可行,原因在于缺乏公认的科学意识理论,以及哲学上长期未解的心身问题。相反,围绕‘感知到的AI意识’的研究更具可操作性、时效性且社会影响深远。公众已逐渐接受AI可能具备意识,并习惯用人类认知和主观体验的术语描述它们。这种现象正推动用户交互、伦理规范与语言习惯的变革。因此,本文建议将研究重点转向揭示感知到的AI意识的成因与影响,这些因素最终塑造我们对自身主观经验与人工实体关系的认知。为此,文章梳理了当前AI意识感知的现状,讨论其潜在驱动因素与社会后果,并呼吁开发者、决策者及科学界保持对意识话题的清晰、准确沟通,明确承认其中的不确定性。
原文摘要 · Abstract (English)
As language-based AI systems become more anthropomorphic, the question of whether they can have subjective experience is increasingly pressing. I focus here on the tractability of research questions in the space of AI consciousness. I argue that the fundamental problem of whether AI systems can be conscious is currently intractable in its direct form, given the absence of a universally accepted scientific theory of consciousness, as well as the historical open-endedness of the philosophical mind-body problem. In contrast, questions around the adjacent subject of perceived AI consciousness are tractable, timely, and highly consequential for society. The general public is increasingly open to the possibility of consciousness in AI systems and routinely adopts the vocabulary of human cognition and subjective experience to describe them. This phenomenon is already driving societal shifts across user experience, ethical standards, and linguistic norms. I therefore propose an increased research focus on uncovering the causes and effects of perceived AI consciousness, which ultimately shape how we see our own human subjective experience relative to artificial entities. To support this, I map the current landscape of AI consciousness perception and discuss its key potential drivers and societal consequences. Finally, I urge developers, decision-makers, and the broader scientific community to commit to clear and accurate communication regarding the topic of AI consciousness, explicitly acknowledging its inherent uncertainties.
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