AI 中文总结
本文提出以环境可持续性为核心的Slow AI生成式系统五项设计原则，恢复无摩擦默认设置移除的决策，扩展人类能动性。
AI 中文摘要
生成式AI（genAI）系统可大规模生产文化制品，但其设计也会体现内嵌的文化价值观，这些价值观一旦被识别，就可被有意识地重塑。本文作为立场文件，从环境人文传统视角审视当前生成式AI的最大化价值观，并提出以环境可持续性为核心价值的设计原则。这些原则在Slow AI（慢AI，已在多个不同研究与实践项目中使用的术语）框架下发展而来，明确了五项设计原则：克制、充足性、保留的选择性、物质可见性，以及作为可供性的摩擦，每项原则均结合当前广泛部署系统的设计进行阐释。每项原则在两个层面运作：一是设计实现层面，二是提示用户和开发者对系统进行反思性参与的解释层面。这些原则通过将解释性反思融入设计，恢复了无摩擦默认设置已悄然移除的决策，从而扩展了人类的能动性。
英文摘要
Generative AI (genAI) systems produce cultural artefacts at scale, but they also reflect embedded cultural values through their design. Once identified, these values become open to deliberate reshaping. This position paper examines the maximalist values of current generative AI through an environmental humanities tradition and proposes design principles in which environmental sustainability serves as the core value instead. The principles are developed under the umbrella of Slow AI, a term that already circulates across several distinct research and practice programs. Five design principles are articulated (restraint, sufficiency, selectivity over retention, material visibility, and friction as affordance), each of them illustrated against the current design of widely deployed systems. Each principle operates at two levels: a design implementation, and an interpretive layer at which users and developers are prompted toward reflective engagement with the system. Together these principles extend human agency by restoring decisions that frictionless defaults have silently removed and do so by building interpretive reflection into design.
CommentsPart of the AI x Culture workshop at the International Conference on Machine Learning (ICML) 2026 in Seoul, South Korea. Non-Archival Conference Paper
