CYAIAPApr 24, 2024

Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration

arXiv:2407.05210v13 citationsh-index: 12Has CodeSSRN
Originality Synthesis-oriented
AI Analysis

It tackles climate change adaptation and mitigation for Africa, but is incremental as it focuses on challenges and collaboration rather than new technical advances.

This position paper addresses the need for AI-driven climate resilience solutions in Africa, highlighting that AI's effectiveness depends on overcoming data scarcity, infrastructure gaps, and limited local development, and advocates for collaboration to build capacity and create context-aware tools.

As climate change issues become more pressing, their impact in Africa calls for urgent, innovative solutions tailored to the continent's unique challenges. While Artificial Intelligence (AI) emerges as a critical and valuable tool for climate change adaptation and mitigation, its effectiveness and potential are contingent upon overcoming significant challenges such as data scarcity, infrastructure gaps, and limited local AI development. This position paper explores the role of AI in climate change adaptation and mitigation in Africa. It advocates for a collaborative approach to build capacity, develop open-source data repositories, and create context-aware, robust AI-driven climate solutions that are culturally and contextually relevant.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes