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Responsible AI In Credit Portfolio Growth: A Risk-Controlled Framework For Artificial Intelligence–Driven Lending In U.S. Banks

This study develops and validates GUARD (Governance, Underwriting integrity, Accountability, Resilience, Disclosure), a risk-controlled framework for the deployment of artificial intelligence in credit origination and portfolio management by U.S. banking organizations. It examines how lenders can convert AI-driven underwriting into sustained credit portfolio growth while retaining defensible control over fair lending exposure, model risk, and consumer explanation obligations, in a supervisory environment that be…

By the Truvace desk1 min read1 sourcePeer-reviewedTRV-2026-2117· cite & verify
Responsible AI In Credit Portfolio Growth: A Risk-Controlled Framework For Artificial Intelligence–Driven Lending In U.S. Banks
OVERSIGHT OF THE FEDERAL HOME LOAN BANK SYSTEM by Committee on Banking, Housing, and Urban Affairs. Public domain

In brief

A peer-reviewed study presents GUARD, a five-part framework covering governance, underwriting integrity, accountability, resilience, and disclosure. It is aimed at U.S. banking organizations that use artificial intelligence in credit origination and portfolio management.

The work matters because banks face pressure to grow lending with AI while staying defensible on fair lending, model risk, and explanations owed to consumers. The supplied text is only a brief abstract, so the size of any growth or risk benefit and the validation results remain unclear.

Main points

  1. GUARD stands for Governance, Underwriting integrity, Accountability, Resilience, and Disclosure.
  2. The framework targets credit origination and portfolio management at U.S. banking organizations.
  3. It addresses fair lending exposure, model risk, and consumer explanation obligations.
  4. The study notes that supervisory expectations moved from prescriptive to principles-based between April 2025 and June 2026.

The gain

A governance framework called GUARD is intended to help U.S. lenders turn AI-driven underwriting into sustained credit portfolio growth while keeping control over risk exposures.

The rundown

The study says it both develops and validates the framework, positioning it as a risk-controlled approach to deploying AI in lending rather than a purely technical model.

It frames the central question as how lenders can achieve sustained portfolio growth from AI underwriting while retaining defensible control over regulatory and consumer-facing obligations.

The text describes the supervisory environment as having shifted decisively toward principles-based expectations over a roughly fourteen-month window, which is the context for the framework.

Sources

  1. Peer-reviewedInternational Journal of Business & Management Studies2026-10-20

The debate