PolicyBrief
H.J.RES. 52
119th CongressFeb 12th 2025
Providing for congressional disapproval under chapter 8 of title 5, United States Code, of the rule submitted by the Federal Housing Finance Agency relating to "Quality Control Standards for Automated Valuation Models".
IN COMMITTEE

This resolution disapproves the Federal Housing Finance Agency’s rule establishing quality control standards for automated valuation models.

Andrew Clyde
R

Andrew Clyde

Representative

GA-9

LEGISLATION

Congress Moves to Block New Quality Control Standards for AI Property Appraisals

This joint resolution uses the Congressional Review Act to officially nix a new rule from the Federal Housing Finance Agency (FHFA) that aimed to regulate Automated Valuation Models (AVMs). AVMs are the complex algorithms and computer programs that banks and lenders use to estimate what a house is worth without always sending a human appraiser to the front door. By disapproving the rule published at 89 Federal Register 64538, Congress is ensuring these specific quality control standards never take effect, essentially hitting the 'undo' button on the agency's attempt to oversee how these digital tools operate.

The Digital Appraisal Sandbox

When you apply for a mortgage or a refinance, your lender often relies on an AVM to decide if your home is actually worth the asking price. The FHFA’s rule was designed to force lenders to follow specific quality control standards to ensure these algorithms weren't spitting out buggy, biased, or wildly inaccurate numbers. For a homeowner in a fast-moving suburb or a rural area where data is sparse, these standards were meant to act as a digital safety net. Without this rule, the current status quo remains: there will be no uniform federal quality control mandate for the math behind your home’s digital valuation, leaving it up to individual lenders to decide how much they trust their own software.

Impact on the Closing Process

For the average person buying a home or tapping into equity, the immediate impact is the absence of a new layer of compliance. On one hand, this could mean fewer administrative hurdles that might otherwise slow down a loan approval or increase closing costs, as lenders won't have to prove their AVMs meet these specific new federal benchmarks. On the other hand, the lack of standardized oversight raises the stakes for accuracy. If an unregulated algorithm undervalues a home by $20,000, a buyer might lose their financing, or a seller might lose a deal, with little recourse to challenge the underlying logic of the 'black box' that generated the number.

Who Wins and Who Watches

The primary beneficiaries of this move are mortgage lenders and real estate tech firms who will avoid the costs and technical headaches of auditing their software to meet federal specs. While this keeps the process lean, it places the burden of risk back on the consumer and the broader housing market. If these automated models fail to account for local market shifts accurately—and there are no enforced quality standards to catch those errors—it could lead to a repeat of past issues where systemic valuation errors contributed to market instability. For now, the tech stays in the hands of the industry, and the oversight stays off the books.