Skip to main content
eScholarship
Open Access Publications from the University of California

Fairness and Accountability for Algorithms in Financial Services: Addressing Bias and Discrimination to Prevent Digital Redlining, Report #493

Creative Commons 'BY-NC' version 4.0 license
Abstract

How can credit unions differentiate on trust? This report reviews a key area where trust is increasingly at a premium: the use of consumers’ data in algorithmic credit scoring. With this change comes new questions and concerns, especially about the potential for bias and discrimination in algorithmic underwriting.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View