Skip to main content
  • Growth & Innovation, Technology

Deploying AI in Credit Risk Management

Share

In this Q&A, Huron’s Erik Shumar and Peter Reynolds discuss how AI can streamline underwriting, improve the borrower experience, and strengthen portfolio monitoring, while addressing risks such as algorithmic bias, data quality, and overreliance on automated decision-making.

Related Articles
Banking on AI Infrastructure: Risks and Rewards of Data Center Lending
Banking on AI Infrastructure: Risks and Rewards of Data Center Lending
  • Economy & Markets, Growth & Innovation, Risk, Technology
Build Risk Into Product Design Early
Build Risk Into Product Design Early
  • Compliance & Regulation, Growth & Innovation, Risk
Why Bigger Fraud Budgets Aren’t Enough
Why Bigger Fraud Budgets Aren’t Enough
  • Fraud, Risk, Talent & Workforce, Technology

Login to View This Content

 

Become a member to unlock exclusive content, connect with industry experts, and gain access to valuable resources. If your employer is an institutional member, activate your ProSight membership benefits with a simple email address.