FinRegLab Deputy Director Kelly Cochran joins RegFi cohosts Jerry Buckley and Caroline Stapleton for a conversation about how machine learning – including generative artificial intelligence – is used by consumer lenders and the evolving regulatory response. Kelly begins with a helpful distinction between the technologies commonly included under the broad “AI” moniker, noting that many of these algorithmic models are not new to credit underwriting. The discussion then pivots to the growing focus on generative AI and the need to balance its potential benefits with consumer protection, data privacy and explainability considerations. Kelly suggests that existing rules in the financial services regulatory framework can be adapted to address many of these issues and serve as a model for AI policymaking in other sectors.

“Melissa discusses her organization’s work in evaluating the explainability of complex machine learning algorithms in credit underwriting, model governance and adverse action notices. The conversation covers the CFPB’s recent guidance on credit denial by lenders using artificial intelligence as well as the role explainability plays in promoting fairness and inclusion in lending, methods and tools emerging for lenders to explain credit-related decisions based on AI models, and the ongoing work required to adapt to the digital economy and evolving regulatory landscape.”