The rapid adoption of AI and machine learning in financial decision-making comes with both opportunities and risks. A recent CFPB report highlights how advanced credit scoring models, used by lenders, may unintentionally contribute to disparities in lending decisions, particularly affecting minority applicants. Examiners found that some models contained biases, and financial institutions were directed to explore less discriminatory alternatives. As technology advances, ensuring fairness and transparency in automated credit assessments remains a critical challenge for regulators and industry leaders alike.
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Website: | Visit Publisher Website |
Publisher: | Consumer Financial Protection Bureau |
Published: | January 1, 2025 |
License: | Public Domain |