Integrating Indigenous Knowledge Systems with Artificial Intelligence for Climate Change Adaptation and Mitigation: A Case Study of Masvingo Farmers in Zimbabwe

Résumé

This paper explores the convergence of Indigenous Knowledge Systems (IKS) and Artificial Intelligence (AI) to address climate change, utilising a qualitative research methodology. It illustrates how AI can assist IKS-centred climate projects, creating opportunities for collaborative creation and knowledge exchange. The results obtained through focus group discussions, in-depth interviews, and direct observation indicate that climate change poses significant challenges for Indigenous communities, which are already dealing with its negative impacts. It emerged from the discussions that IKS offers a crucial understanding of sustainable practices and environmental stewardship, while AI presents creative approaches for both mitigating and adapting to climate change. The research underscores the importance of centring Indigenous knowledge in AI-enhanced climate solutions, demonstrating how the fusion of IKS and AI can lead to more inclusive and impactful responses to climate issues. However, obstacles related to cultural appropriateness and insufficient contextualised data impede AI’s effectiveness in places like Zimbabwe. Consequently, the paper advocates for stakeholders to leverage the strengths of IKS-based initiatives alongside AI advancements to formulate customised strategies for addressing climate change, especially in regions such as Masvingo, which are confronting climate-related difficulties.