用慢速设计重构生成式AI，让环保成为核心价值
Environmental Slow AI: Design Principles for Generative Systems
- 提出五项慢速设计原则，以环境可持续为核心
- 通过留白与阻力机制，恢复用户对生成过程的控制权
- 适合关注伦理设计与可持续AI的研究者和开发者
生成式AI系统大规模生产文化产物，但其设计也嵌入了文化价值观。一旦识别出这些价值观，便可主动重塑。本文从环境人文传统出发，审视当前生成式AI的极端化价值取向，提出以环境可持续为核心的新设计原则。这些原则归属于‘慢速AI’（Slow AI）框架，包含：节制、充足、选择性留存、材料可见性、摩擦作为可用性。每项原则均在两个层面运作：设计实现层与促使用户与开发者进行反思性互动的解释层。这些原则共同扩展人类能动性，通过将反思融入设计，恢复被无摩擦默认设置悄然剥夺的决策权。
原文摘要 · Abstract (English)
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.
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