从哲学视角评估生成式AI的生态影响，推动可持续发展实践
Assessing the Ecological Impact of AI
- 结合哲学思想构建生成式AI可持续性评估框架
- 指出当前生态评估多局限于碳排放，缺乏系统性分析
- 适合关注AI伦理与环境影响的研究者和开发者
技术哲学家近期开始更多关注人工智能，特别是大型语言模型（LLMs）和生成式AI（genAI）应用的环境影响。然而，大多数AI开发者并未提供其模型和产品生态影响的具体估算，即使有，也常仅限于开发或使用阶段的温室气体排放。本文提出一种切实可行的方法，基于哲学理念对生成式AI的可持续性进行更全面的分析，以促进在实践中实现更负责任的AI发展。
原文摘要 · Abstract (English)
Philosophers of technology have recently started paying more attention to the environmental impacts of AI, in particular of large language models (LLMs) and generative AI (genAI) applications. Meanwhile, few developers of AI give concrete estimates of the ecological impact of their models and products, and even when they do so, their analysis is often limited to green house gas emissions of certain stages of AI development or use. The current proposal encourages practically viable analyses of the sustainability aspects of genAI informed by philosophical ideas.
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