The Case for Contextual AI Auditing in South Asia

AI systems are often evaluated through general benchmarks, but harms do not arrive in general form. They arrive through language, institutions, social context, and uneven access to remedy.

For South Asia, contextual auditing means looking at multilingual performance, political sensitivity, religious and ethnic targeting, gendered harm, and the institutions expected to respond when systems fail.

A useful audit is not only a technical measurement. It is a way of asking whether a system can be challenged, explained, corrected, and governed in the place where it is used.