Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Jul 30·5 min read
The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
TL;DR
AI's growing role in weather and climate information is exacerbating global inequalities, particularly between the Global North and South. To combat this, a Climate Digital Public Infrastructure is essential for equitable data access and resilience building.
✦ Why It Matters
Support initiatives that promote equitable climate data access in your community today.
Key Takeaways
- Advocate for inclusive climate data practices in your organization.
- Engage with local communities to understand their climate information needs.
- Support the development of equitable AI models for climate science.
- Promote metrics that prioritize community well-being in climate evaluations.
Full Summary
The integration of artificial intelligence (AI) in weather and climate information systems is predominantly driven by models developed in the Global North, leading to a significant North-South divide. This disparity is evident in the biased training data and unrepresentative validation processes that fail to account for the unique challenges faced by vulnerable regions in the Global South.
The article advocates for the establishment of a Climate Digital Public Infrastructure, which would provide equitable access to climate data and foster collaboration in knowledge production. By centering evaluation metrics around well-being, the aim is to enhance resilience in affected communities rather than perpetuating existing inequities.
The proposed framework emphasizes the importance of inclusive data practices and community engagement in climate science.