Fair lending

Fair lending compliance for AI and credit models.

Asenion accelerates fair AI adoption by streamlining fair lending compliance in financial services, with white-glove service in the most secure data environments and without IT overhead.

  • ✓Bias audits for credit and lending models
  • ✓Transparency and explainability for model decisions
  • ✓Continuous monitoring as data and conditions change
Trusted by a US bank for fair lending: read the case study
Talk to a fair lending expert

Find out how Asenion AI Compliance-in-a-Box can help with your fair lending assessments.

What regulators expect

Key aspects of fair lending for AI.

01

Bias audits

Regularly assess AI systems for potential bias and put measures in place to address what you find.

02

Equitable design

Design AI systems so that algorithms and data don’t disadvantage any particular group.

03

Transparency and explainability

Explain clearly how AI systems make decisions, so the process is understandable and justifiable.

04

Continuous monitoring

Keep evaluating AI systems so they stay fair over time as conditions and data change.

Build a trusted brand

Track and mitigate AI risk in lending.

Show regulators and customers that your credit decisions are fair, explainable and monitored.