Document Quality Decline Among Seniors and African Americans can lead to greater friction in the loan approval process

Document Quality Decline Among Seniors and African Americans can lead to greater friction in the loan approval process Informed Informed

Over the last 20 months, there’s been a noticeable decline in lending verification document quality – disproportionately affecting senior citizens and African Americans. According to Informed’s Data Consortium, senior citizens are 1.4 times more likely to upload poor quality documents and African Americans are 1.1 times more likely. This statistical variation suggests a potential correlation warranting further investigation.

Potential Correlations

Access to Digital Technology: One possible correlation is the varying access to digital technology among different demographics. Seniors and African Americans may face greater challenges when it comes to accessing and using digital platforms for document uploads and financial transactions.

Digital Technology Maturity: Another factor to consider is the level of digital technology maturity within these groups. It is possible that seniors, African Americans and lower income borrowers are less familiar with the technology required for document uploads. This technology adoption curve leads to lower document quality and could have a potential correlation to access to digital technology as described by the Pew Research Center.

Difficulty in Providing Income Validation Documents: The auto finance industry often requires income validation documents during the application process. Seniors and African Americans may face additional challenges in providing these documents, potentially resulting in lower-quality uploads. Seniors, for example, may get income from retirement benefits or pensions as opposed to traditional paystubs.

AI Can Decrease Potential for Disparate Impact

  • Document Verification and Quality Enhancement: To address the issue of declining document quality, AI-powered document verification tools automatically assess document upload quality. These tools can detect blurriness, missing information, or other issues. If there are issues, the tool prompts users to retake or resubmit documents, ensuring smoother and more accurate loan application processing.
  • Language Processing for Accessibility: AI-powered natural language processing (NLP) assists seniors and individuals with varying levels of digital literacy complete loan applications. NLP-driven chatbots or virtual assistants guide applicants through the application process, simplifying complex language and ensuring they understand each step.

Automated Decision-Making: AI-driven underwriting systems streamline the loan approval process by automating credit assessments and decisions. This reduces the time it takes to process applications, eliminates the barrier of document upload and provides faster approvals to eligible customers.

Conclusion

The decline in document quality among seniors and African Americans poses challenges for the industry. Investigating potential correlations, such as limited access to digital technology and difficulty in providing income validation documents, is crucial to addressing disparities and ensuring that auto financing remains inclusive. Auto lenders, policymakers and technologists must work together to bridge these gaps and create a more equitable auto finance landscape.

Incorporating document AI into auto finance will not only improve efficiency but also foster inclusivity by addressing disparities in document quality and digital access. To maximize the benefits of AI, collaboration between financial institutions, technology providers, and policymakers is essential to ensuring that AI-driven solutions are designed with fairness, transparency, and ethics in mind.

An earlier version of this article appeared on Auto Finance News.

author avatar
Jessica Gonzalez Director of Lending Strategies
With more than 15 years’ experience in the financial services industry, including tenures at Santander Consumer USA and Visa, Jessica Gonzalez is now the VP of Customer Success, Lending at Informed.IQ.

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