AI in Mortgage: Federal Law Compliance & Risk | Orrick & MBA
Intersection of legal analysis and technological advancement in housing finance
Key Highlights
Orrick & MBA’s white paper explores federal law compliance and risk for AI in the mortgage lifecycle, from origination to servicing.
AI Reshapes Mortgage Industry, Federal Law Scrutinized
Orrick’s Financial & Fintech Advisory team, in collaboration with the Mortgage Bankers Association (MBA), has released a significant white paper. This publication explores how existing federal mortgage, consumer protection, and fair lending laws apply to the increasing use of artificial intelligence (AI) in the mortgage lifecycle.
The report details AI’s deployment across various stages, from customer engagement to loan origination and underwriting. It also covers servicing, regulatory compliance, and risk management.
Key Areas of AI Integration and Oversight
The white paper highlights critical legal and policy considerations for AI in housing finance:
- Human Oversight: The necessity of human involvement in AI-assisted lending processes.
- Licensed Originators: The role of licensed mortgage loan originators in an AI-driven environment.
- Principles-Based Governance: Adopting structured approaches to AI governance and risk management.
Specific areas of focus include fair lending implications, the explainability of AI models, and robust model validation processes. Data privacy, vendor oversight, and broader consumer protection are also central themes.
Driving Responsible AI Innovation
The report provides practical insights and emerging best practices for the responsible implementation of AI. The goal is to support both innovation and operational efficiency within the housing finance sector.
This resource is crucial for mortgage lenders, servicers, compliance professionals, and policymakers. It offers a roadmap for evaluating the future landscape of AI in housing finance.