The climate crisis requires responses that integrate scientific, ethical, social, and technological perspectives. Artificial intelligence (AI) has emerged as a powerful tool in climate modelling, environmental monitoring, and energy optimisation, yet its growing use also raises critical environmental, ethical, legal, and social questions. This contribution examines the ambivalent role of AI in the ecological crisis, addressing both its promises and its risks. On the one hand, AI supports improvements in climate forecasting, renewable energy management, and real-time detection of environmental degradation. On the other hand, the energy demands of data centres, resource-intensive hardware production, algorithmic bias, corporate concentration of power, and technocratic decision-making reveal contradictions that challenge its sustainability. The discussion explores these issues through interdisciplinary lenses, including environmental ethics, philosophy of technology, and legal governance, and concludes with recommendations for socially just, ecologically responsible, and democratically accountable uses of AI. Rather than assuming AI as an inherently sustainable solution, this analysis argues that its contribution to climate action depends fundamentally on the values, institutions, and power structures that shape its development.

翻译：气候危机需要整合科学、伦理、社会与技术视角的应对策略。人工智能已成为气候建模、环境监测与能源优化领域的强大工具，但其日益广泛的应用也引发了严峻的环境、伦理、法律与社会问题。本文审视了人工智能在生态危机中的矛盾角色，既探讨其潜力也剖析其风险。一方面，人工智能助力提升气候预测精度、优化可再生能源管理、实现环境退化实时监测；另一方面，数据中心能耗、资源密集型硬件生产、算法偏见、企业权力集中与技术官僚决策机制等矛盾，对其可持续性构成根本性质疑。本研究通过环境伦理学、技术哲学与法律治理等跨学科视角剖析这些问题，最终提出实现社会公正、生态负责与民主问责的人工智能应用路径。本文主张，人工智能对气候行动的贡献并非天然固有，其根本取决于塑造其发展的价值体系、制度框架与权力结构。