This study is part of a market monitoring exercise to understand the range of risks and how they are perceived by multiple stakeholders in the Indian fintech lending sector.

This Note describes some of the uses of artificial intelligence and machine learning by financial institutions; considers the supervisory responses to such uses; and highlights some ways in which supervisory authorities can themselves use AI and ML to improve the effectiveness and efficiency of supervision.