WHITEPAPER

Model Explainability—Re-explained

Accurate, transparent explanations for AI credit models.

Lenders can seamlessly integrate advanced machine learning underwriting models while ensuring compliance.

This white paper examines several academic studies that endorse the machine learning techniques facilitated by Zest AI’s technology. Additionally, it presents the findings from our empirical validation, which confirms that Zest AI’s approach produces accurate adverse action reasons.

Download now to learn why interpretable models frequently fail to meet expectations and how Zest AI’s approach meets it with:

• Proven accuracy supported by game theory and real-world validation.
• High-fidelity, intuitive, accurate explanations that ensure compliance and build customer trust.
• Better outcomes that increase fair, transparent access to credit by reducing bias while mitigating risk.

Interested to learn more about our AI-Automated Underwriting solution? Visit our product page.