Grounding Explainability Within the Context of Global South in XAI

TL;DR

This paper advocates for contextualizing AI explainability within social and cultural settings, emphasizing the importance of research focused on the Global South, especially India, to enhance understanding and relevance.

Contribution

It introduces the concept of grounded explainability in socio-technical contexts, highlighting the need for more research in the Global South to improve AI transparency.

Findings

Highlights the importance of social context in explainability

Calls for increased research focus on the Global South

Emphasizes cultural relevance in AI explanations

Abstract

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.