Artificial intelligence (AI) is revolutionizing health, education, and industry, and has the potential to accelerate humanity's response to climate change. AI technologies are increasingly used to predict, analyze, and respond to environmental pollution, extreme weather events, natural disasters, biodiversity impacts, and water scarcity. However, technological advancements often fail to reach the communities most in need, with algorithmic biases potentially exacerbating existing inequities. The Global Partnership on AI highlights that the least-resourced actors, particularly in the Global South, are most vulnerable to climate impacts and digital transformation power shifts, necessitating responsible AI development and deployment. AI applications in climate mitigation, adaptation, and resilience, such as reducing emissions, improving hazard projections, and supporting climate research, are promising but require substantial support, including capital investments, informed decision-makers, and trained practitioners.

The relationship between climate and health is complex, with climate change aggravating over 200 diseases and impacting health outcomes through extreme weather events, heat stress, air and water quality issues, and more. AI can enhance societal resilience to climate change by improving public health models, disaster response, and infrastructure targeting. However, integrating AI with climate science and health expertise is challenging and requires comprehensive, integrated knowledge. Moreover, the energy consumption of AI technologies poses additional challenges. Reports indicate significant increases in greenhouse gas emissions from data centers, with AI-related queries consuming more electricity than traditional internet uses. Addressing these issues requires targeted interventions and better data to set priorities and implement effective solutions.