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.