| 英文摘要 |
This paper responds to the condition of“negative unfreedom”under the expansion of AI. From the perspectives of liberalism and the philosophy of science, it examines how algorithmic domination and capital compress the boundaries of individual action, and it proposes the Song–Ming Neo-Confucian practice of“dingjing”(定靜) as a mode of anchoring. First, the paper argues that AI-induced unfreedom emerges through recommender mechanisms that reshape desire and deepen dependence on tools, thereby generating a range of social and political risks. Second, addressing this unfreedom, it translates the“inner stillness and outer reverence”(內靜外敬) framework of dingjing into principles for engaging AI tools:“inner stillness”denotes the mind’s non-attachment to things, while“outer reverence”denotes the mind’s self-disciplined restraint toward things. On this basis, the user’s distance from and boundaries with AI tools can be set so as to restore the instrumentality of things. The paper further advances a renewed interpretation of dingjing, oriented not toward the classical ideal of“inner sageliness”(內聖) but toward the recovery of negative freedom. By integrating political philosophy, philosophy of science, and Neo-Confucian discourse on self-cultivation, this cross-disciplinary inquiry proposes a tentative yet meaningful practical framework for addressing contemporary problems. |