India, April 23 -- For the last few years, artificial intelligence in assessment has been surrounded by a familiar cycle of excitement. The early conversation was dominated by possibility: AI could generate questions, accelerate grading, strengthen remote proctoring, detect anomalies, and offer faster feedback. That phase mattered because it expanded the horizon of what assessment systems could do. But the sector is now entering a more consequential phase. The central question is no longer whether AI can be used in assessment. It is whether AI can be used responsibly in environments where trust, fairness, and credibility are non-negotiable.

This shift is important because assessment is not just another digital workflow. It is a high-stak...