Today, many algorithms are off-limits in credit and risk scoring.

Neural networks, for instance, are excluded because current regulation requires that decision-making must be explainable and free of bias.

With the AI Act, this changes.

As long as models are transparent and can prove fairness, banks will gain much greater freedom in the techniques they apply.

After this live session, you’ll leave with:
- A repeatable process for improving fairness in existing models
- Metrics you can use in fairness audit documentation
- A clear view of the compliance implications for AI in banking

This is not a product pitch.

It’s a working demonstration you can follow, understand, and apply.