AI与可持续发展交叉研究正成为应对复杂挑战的关键方向。
Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections
- 基于541篇文献分析，梳理AI与可持续发展的融合路径
- 揭示跨学科、跨期刊的互动模式，展现研究活跃度
- 适合关注AI伦理、环境治理与政策制定的研究者
数字经济与数字技术领域的研究者日益意识到人工智能（AI）在塑造环境、社会与治理（ESG）发展方面的重要性。可持续性与AI研究在复杂、相互关联且动态演变的‘棘手问题’特征上趋于一致。本文基于Web of Science（WoS）数据库收集的541篇文献，综述了该领域的前沿研究现状，揭示绿色与可持续科技在连接不同学科、主要期刊及核心议题中的中心地位。研究发现，这些交叉互动既是必要的，也面临挑战，同时充满潜力。文章最后提出若干观点，呼吁拓展人工智能促进可持续发展的实践共同体，尤其在预期应用领域和机构合作方面。
原文摘要 · Abstract (English)
Both digital economy and digital technology researchers increasingly recognize the need to better address the role that artificial intelligence (AI) plays in shaping the evolution of the environmental, social and governance aspects of development. It appears that sustainability and AI research converge on the features of wicked problems that are complex, interconnected and dynamic. Building off such convergence, this article aims to map out the necessary, challenging, and promising intersections by providing an overview of the state of art research. Based on 541 bibliographic data collected from the Web of Science (WoS) database, the findings reveal the increasingly central body of work on green and sustainable science and technology in bridging various disciplines, main journals and key topics and concepts. The findings reveal how such interactions can be necessary, challenging, and promising. The article concludes with few general arguments regarding how to diversify and expand the community of practice regarding AI for sustainable development, especially in the areas of expected AI application areas and institutions.
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