Grounding Explainability Within the Context of Global South in XAI
It addresses the need for context-aware explainability in AI for underserved regions like the Global South, but is incremental as it proposes a conceptual framework without new empirical results.
The paper argues for grounding explainability in AI within social contexts, specifically focusing on the Global South and India, and calls for more research in this area.
In this position paper, we propose building a broader and deeper understanding around Explainability in AI by 'grounding' it in social contexts, the socio-technical systems operate in. We situate our understanding of grounded explainability in the 'Global South' in general and India in particular and express the need for more research within the global south context when it comes to explainability and AI.