How Generative AI Is Impacting Auto Lending Compliance

Auto dealers and lenders, like leaders in other business sectors, are grappling with the current wave of excitement over generative AI. Many professionals already have seen a co-worker or vendor pitch a generative AI use case. It seems as though half the room is impressed, while the other half is waiting for a negative consequence or reaction knowing it was computer-generated. The safe bet is that this technology will bring significant changes to auto lending.

Compliance Risks

This AI “Gold Rush” will have an equivalent impact on the compliance landscape. First, like any new technology, generative AI has its own risks. These include copyright and IP infringement, discrimination, fraud and privacy violations. When companies deploy generative models, compliance teams must monitor these emerging risks.

But there is a second less obvious compliance change coming – regulators’ shifting priorities. Even if your company is conservative about using generative AI, you must recognize that regulators are redeploying their finite resources to address the technology. This redeployment focuses on issues of bias, discrimination and unfairness.

CFPB Focus

The recent CFPB Fair Lending Report published in late June is an example of this shift. Every year, the Consumer Financial Protection Bureau publishes this statutorily required report on its enforcement of federal fair lending laws. The current report’s discussion of future CFPB activities states the bureau is “focused on increased use of advanced and emerging technologies in financial services.” 

The report adds that the CFPB “is increasing its expertise in data science and analytics in order to identify fair lending violations at each stage of the credit lifecycle and hold creditors and service providers accountable for fully complying with fair lending and other federal consumer financial laws, regardless of the technology they choose to use.”

So, the CFPB will devote more money, resources and attention to examining AI systems for discrimination.

The CFPB’s view of AI is cautious, if not skeptical. Other agencies also have put AI in the crosshairs. In a recent joint statement, the Federal Trade Commission, Equal Opportunity Commission and Department of Justice have committed to vigorously pursuing enforcement actions against unlawful bias or discrimination by AI systems.

What Does All of This Mean for the Industry?

What does this regulatory focus on AI mean for auto dealers and lenders?  It means more scrutiny of your lending operations for unfairness and discrimination, whether you use AI or not.  In particular, take note of the CFPB’s statement that it intends to look for risks across the lending cycle. The regulators aren’t just looking at how you approve loans. They’re watching your advertising and application process, collections, and the sale and administration of ancillary products in your deal jackets.

On the positive side, and what is often left out of recent headlines, is the extraordinary power of AI to reduce harm, including fair lending and discrimination risks. The right AI technology helps counter perceived risks of AI with tools and compliance dashboards.

Using AI for Successful Outcomes

Today’s software leverages advanced AI technology to simplify and automate the process of collecting and analyzing data, with the goal of helping to fund loans as quickly and efficiently as possible while lowering cost to fund, lowering the cost of processing GAP refunds for early payoffs, improving compliance and lowering the cost of regulatory Matters Requiring Attention and consent decrees related to unfair, deceptive or abusive acts and practices.

Tom Oscherwitz

Tom Oscherwitz (pictured, above left) is Informed’s vice president of legal and Regulatory Advisor.  He has over 25 years of experience as a senior government regulator (CFPB, U.S. Senate) and as a fintech legal executive working at the intersection of consumer data, analytics and regulatory policy.