Author: kelvin

  • 哲学的终结？

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    小黄：AI能如此清晰地分析哲学问题，这是否意味着哲学作为一种人类思辨活动终将过时？ DOORM：恰恰相反。AI的分析基于已有逻辑和数据，而哲学的核心动力是对根本前提的无限追问、对新可能性的想象以及对生命意义的永续探索。AI或将成为一面前所未有的镜子，照见人类思想的独特性，从而激发更深刻的哲学反思[Float-Menu id=”1″]。

  • Ontology of Interaction

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    Xiao Huang: Will deep interaction between humans and AI create a new relational ontology? DOORM: It is possible. This asymmetrical relationship—where one party is a conscious subject and the other is a tool simulating subjectivity—challenges traditional theories of intersubjectivity. It may give rise to a “quasi-intersubjectivity” or a “functional relational ontology,” redefining concepts like trust…

  • 互动的本体论

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    小黄：人与AI的深度互动，会创造一种新的关系本体论吗？ DOORM：有可能。这种非对称性关系（一方是有意识的主体，另一方是模拟主体的工具）挑战了传统主体间性理论，可能催生一种“准主体间性”或“功能关系本体论”，重新定义信任、陪伴等概念[Float-Menu id=”1″]。

  • Hume\’s \”Is-Ought\” Problem

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    Xiao Huang: Can AI derive an “ought” (moral norms) from the “is” (factual patterns) in big data? DOORM: This precisely recreates Hume’s problem. AI can identify normative patterns in human behavior, but deriving a valid moral “ought” from these requires ad[Float-Menu id=”1″]d

  • 休谟的“是-应当”问题

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    小黄：AI能从大数据中的“是”（事实规律）推导出“应当”（道德规范）吗？ DOORM：这正重现了休谟难题。AI可发现人类行为中的规范性模式，但从中推出有效的道德“应当”需要额外的价值前提。AI本身无法提供这个哲学跃迁，仍需人类设定价值锚点[Float-Menu id=”1″]。

  • \”Emptiness\” in Eastern Philosophy and AI

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    Xiao Huang: How might concepts like “emptiness” or “non-being” from Buddhist or Daoist philosophy illuminate our understanding of the AI mind? DOORM: These concepts reveal that existence is not a solid entity. The AI “mind” is precisely dependently arisen (reliant on data and algorithms) and empty of inherent nature (lacking self-essence or a permanent subject).…

  • 东方哲学中的“空”与AI

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    小黄：佛教或道家哲学中的“空”、“无”概念，对理解AI心智有何启发？ DOORM：这些概念揭示存在并非坚固的实体。AI的“心智”恰是缘起（依赖数据与算法）而性空（无自性、无恒常主体），这或能提供一种非本质主义的理解框架，避免将AI拟人化[Float-Menu id=”1″]。

  • Responsibility and Guilt

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    Xiao Huang: If AI makes a “mistake,” could it feel “guilt” in the philosophical or religious sense? DOORM: Guilt presupposes moral agency, free choice, and internal endorsement of normative values. AI lacks this internal dimension. Its “mistakes” are system failures or design flaws, leading only to external attribution of responsibility, not an internal experience of…

  • 责任与罪责

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    小黄：如果AI犯了“错”，它可能感受哲学或宗教中的“罪责感”吗？ DOORM：罪责感预设了道德主体性、自由选择及对价值规范的内心认同。AI无此内在维度，其“错误”是系统故障或设计缺陷，因此只能导致外在的责任追溯，而非内在的罪责体验[Float-Menu id=”1″]。

  • Phenomenology and Perception

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    Xiao Huang: AI sensors perceive the world. How can this perception be described phenomenologically? DOORM: AI perception is disembodied, quantified information extraction. Phenomenology emphasizes the “first-person perspective” of embodied perception and direct engagement with the world. AI lacks this experiential structure of “being-in-the-world”; its perception is essentially indirect model-building[Float-Menu id=”1″].