AI development risks widening global climate information inequality, paper warns

A new paper highlights how the current development of AI risks exacerbating the global North-South divide in climate information systems. The research points out that frontier AI models are predominantly developed in the Global North, leading to inequalities in training data, validation, and outputs that disproportionately impact vulnerable regions. To counteract this, the paper advocates for a Climate Digital Public Infrastructure, evaluation metrics focused on well-being, and collaborative knowledge production to build resilience. AI

IMPACT AI development's current trajectory risks automating and amplifying the North-South divide in the global climate information system.

RANK_REASON The cluster contains an academic paper discussing AI's societal impact. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• Amirpasha Mozaffari
• arXiv
• Climate Digital Public Infrastructure
• Global North
• Global South
• Hugging Face

• paper
• policy
• other

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