考虑人工智能的社会和经济可持续性
Rosalie Waelen1, Aimee van Wynsberghe2
1Sustainable AI Lab, Institute for Science and Ethics, University of Bonn, Bonner Talweg 57, 53113, Bonn, Germany. waelen@iwe.uni-bonn.de.
Science and engineering ethics
|July 24, 2025
概括
可持续的人工智能 (AI) 需要采用整体方法,考虑环境,社会和经济影响. 这项研究倡导将所有三大支柱整合起来,以便全面了解人工智能可持续性.
科学领域:
- 计算机科学 计算机科学
- 环境科学 环境科学
- 社会学 社会学 社会学
- 经济学 经济学 经济学
背景情况:
- 关于可持续人工智能 (AI) 的讨论主要集中在环境问题上.
- 传统的可持续性框架包括环境,社会和经济方面.
- 目前关于可持续人工智能的辩论在很大程度上忽视了社会和经济方面的问题.
研究的目的:
- 扩大可持续人工智能的定义,超越环境考虑.
- 在人工智能可持续性讨论中提倡将社会和经济因素纳入讨论.
- 突出人工智能对环境,社会和经济影响的相互联系.
主要方法:
- 对人工智能可持续性的现有研究进行文献分析.
- 检查与人工智能发展相关的伦理和哲学论据.
- 对人工智能的可持续性进行多维视角的概念框架开发.
主要成果:
- 人工智能的环境影响与社会和经济问题密切相关.
- 对环境成本的伦理考虑同样适用于社会和经济层面.
- 对环境可持续性的狭关注为人工智能的真正成本提供了一个不完整的画面.
结论:
- 可持续的人工智能需要一个全面的方法,包括环境,社会和经济支柱.
- 承认这些维度的相互依赖对于负责任的AI发展至关重要.
- 对可持续人工智能的更广泛的理解对于解决其全部影响至关重要.
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