AI Bias beyond the western lens: Perspectives from India
Several studies have documented the risks of AI bias, most notably in the context of gender and racial bias. Most of these conversations, particularly those involving empirical analysis, stem from a western perspective, generally relying on western datasets and institutional structures.
This session will discuss the implementations of such systems from an Indian perspective, highlighting the role that institutional biases play in all stages, from data generation to decision making.
By looking at Indian implementations we hope to highlight the importance of local context and evaluate biases that cut across complexities of caste, religion, class, and regional divides. This offers a starting point for discussions on AI bias rooted in the realities of bias as experienced across different countries and communities.
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