规训与解域:生成式人工智能的双重教育面向

Discipline and Deterritorialization: The Dual Aspects of Education in the Era of Generative Artificial Intelligence

  • 摘要: 生成式人工智能以其强大的算法推理能力介入人类认知过程,形成对人的新的规训机制:人作为认知主体的异化与消解,知识生成从人类的创造性劳动转变为算法驱动的概率游戏,建立较之以往更加隐蔽、微观和自动化的“超级全景敞视监控”的规训手段。与此同时,生成式人工智能存在对教育的解域化可能:知识生产的去中心化可以打破传统知识生产的权威垄断,重构师生关系有助于发挥学生的主体性,“平滑”学习空间的产生使教育体系创新成为可能。生成式人工智能既可能是异化人的规训装置,也可能成为最有效的解域化工具。人类面对生成式人工智能可能的“逃逸线”包括:构建“生成—他者”的教育哲学范式;重视具身体验,恢复被技术遮蔽的意义世界;理性看待生成式人工智能,警惕算法规训的潜在风险;学会批判性使用生成式人工智能工具,释放其积极潜能。

     

    Abstract: Due to the powerful algorithmic reasoning capabilities, generative artificial intelligence intervenes in human cognitive processes, leading to new forms of discipline over humans, including the alienation and dissolution of humans as cognitive subjects, transforming knowledge generation from human creative labor into algorithm-driven probabilistic games, and establishing a more concealed, microscopic, and automated "super panopticon" disciplinary mechanism. At the same time, generative AI also holds the potential to "deterritorialization" education: the "decentralization" of knowledge production can break the authority monopoly of traditional knowledge production, the reconfiguration of the teacher-student relationship can help to bring out students' subjectivity, and the emergence of "smooth" learning spaces makes educational system innovation possible. Generative AI can be both a disciplinary device that alienates humans and a highly effective deterritorializing tool. Possible "escape lines" for humanity in the face of generative AI include constructing an educational philosophy paradigm of "Becoming - Other", emphasizing embodied experience to restore the meaning world obscured by technology, viewing generative AI rationally to be vigilant against the potential risks of algorithmic discipline, and learning to use generative AI tools critically to unleash their positive potential.

     

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