<p>Artificial intelligence (AI) offers transformative potential in addressing climate change by capturing the nuanced dynamics of the Earth-human ecosystem. However, AI-driven solutions risk cognitive offloading and epistemic stagnation, which can limit our capacity to reimagine symbiotic coexistence as climate crises evolve. We propose shifting from narrow, solution-oriented narratives to proactive, inclusive visions that endogenize AI through transdisciplinary approaches—ensuring resilience redesign benefits marginalized communities and fosters reciprocal learning for regenerative futures.</p>

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Embedding the frontiers in climate action: navigating the evolving earth-human ecosystem

  • Yuhan Zheng,
  • Yu Jin,
  • Youssef Nassef,
  • Dongping Fang,
  • Ulf Strohmayer,
  • Zeyu Zhao

摘要

Artificial intelligence (AI) offers transformative potential in addressing climate change by capturing the nuanced dynamics of the Earth-human ecosystem. However, AI-driven solutions risk cognitive offloading and epistemic stagnation, which can limit our capacity to reimagine symbiotic coexistence as climate crises evolve. We propose shifting from narrow, solution-oriented narratives to proactive, inclusive visions that endogenize AI through transdisciplinary approaches—ensuring resilience redesign benefits marginalized communities and fosters reciprocal learning for regenerative futures.