梳理AI是否具备意识的14类争议，区分其理论强度与层次。
Consciousness in Artificial Intelligence? A Framework for Classifying Objections and Constraints
- 按马尔可夫层级划分意识挑战的理论层次
- 将反对意见分为可能性、可行性、不可能性三类强度
- 为哲学与科学争论提供清晰分析工具
本文构建了一个分类框架，用于系统化梳理对数字人工智能系统可能具备意识的质疑。该框架依据马尔可夫（Marr）的分析层级，明确每类挑战所针对的粒度，并区分其论证力度：是仅质疑计算功能主义（程度1），还是认为数字意识虽可能但极难实现（程度2），抑或主张数字意识根本不可能（程度3）。我们将其应用于科学与哲学文献中的14个典型论点，旨在不参与立场之争，而是为不同类型的挑战提供结构化解析工具，厘清对计算功能主义与数字意识的各类质疑之间的差异。
原文摘要 · Abstract (English)
We develop a taxonomical framework for classifying challenges to the possibility of consciousness in digital artificial intelligence systems. This framework allows us to identify the level of granularity at which a given challenge is intended (the levels we propose correspond to Marr's levels) and to disambiguate its degree of force: is it a challenge to computational functionalism that leaves the possibility of digital consciousness open (degree 1), a practical challenge to digital consciousness that suggests improbability without claiming impossibility (degree 2), or an argument claiming that digital consciousness is strictly impossible (degree 3)? We apply this framework to 14 prominent examples from the scientific and philosophical literature. Our aim is not to take a side in the debate, but to provide structure and a tool for disambiguating between challenges to computational functionalism and challenges to digital consciousness, as well as between different ways of parsing such challenges.
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