The RAND Tool for Evaluating Algorithmic Bias

A User Guide

Joshua Snoke, Steven C. Martino

ToolPublished Sep 29, 2025

The RAND Tool for Evaluating Algorithmic Bias provides a means of assessing and correcting differences in the performance of binary predictive algorithms across groups of individuals. This guide explains how to use the tool and includes notes on best practices to assess performance differences when complete group information is unavailable and imputed group values must be used.

Topics

Document Details

Citation

Chicago Manual of Style

Snoke, Joshua and Steven C. Martino, The RAND Tool for Evaluating Algorithmic Bias: A User Guide. Santa Monica, CA: RAND Corporation, 2025. https://www.rand.org/pubs/tools/TLA4163-1.html.
BibTeX RIS

This publication is part of the RAND tool series. RAND tools include models, databases, calculators, computer code, GIS mapping tools, practitioner guidelines, web applications, and various other toolkits and applied research products. All RAND tools undergo rigorous peer review to ensure both high data standards and appropriate methodology in keeping with RAND's commitment to quality and objectivity.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.