AI credit models incorporate non-linear relationships and alternative behavioural data, enhancing predictive power and early-warning detection. Traditional scorecards rely on linear weighting structures and limited variables.
Comparative Strengths
| Feature | Scorecards | AI Models |
|---|---|---|
| Variable Complexity | Limited | High-dimensional |
| Behavioural Data | Minimal | Extensive |
| Pattern Detection | Linear | Non-linear |
However, adoption depends on explainability, model validation standards, and supervisory approval.
References: – Bank for International Settlements, Credit Risk and Machine Learning – Federal Reserve, Supervisory Guidance on Model Risk Management