Tax Enforcement: IRS Audit Selection Processes for Returns Claiming Refundable Credits Could Better Address Equity
Fast Facts
The IRS is examining potential systemic biases in how it chooses which returns to audit. Research estimates that Black taxpayers are audited at higher rates than taxpayers of other races.
Even though IRS doesn't collect data on taxpayers' race or ethnicity, some of its methods could lead to disparities. For example, IRS uses an automated system to select returns that claim refundable credits, such as the Earned Income Tax Credit, for audit. While IRS regularly reviews this system, it doesn't consider potential unintended bias in the data and assumptions the system uses to make selections.
We recommended addressing this issue and others we found.
Highlights
What GAO Found
The Internal Revenue Service (IRS) and the Department of the Treasury have committed to tax administration equity, including equity in how IRS conducts audits, in multiple policies and various media. IRS also has begun to examine potential systemic biases in audit enforcement across several demographic characteristics, including age, gender, geography, race, and ethnicity.
IRS's Wage & Investment Division (W&I) audits returns claiming refundable tax credits, including the Earned Income Tax Credit (EITC) and the Premium Tax Credit. W&I uses a mix of manual and automatic processes to determine the number and types of audits it will conduct and relies on four objectives to develop its audit workplan. One of these objectives is the no-change rate—the percentage of returns that will yield no additional revenue after audit.
IRS seeks to achieve a low no-change rate because that indicates it is auditing noncompliant taxpayers. However, the calculation of the no-change rate includes default audits—audits closed as a “change” because taxpayers did not respond or provided insufficient responses to IRS's notices. IRS officials said their recent research found that Black taxpayers are more likely not to respond to IRS correspondence than taxpayers of other races. Default audits also may be more common among low-income and EITC taxpayers, because of challenges that make communicating successfully with IRS more difficult, such as being transitory or not having bank accounts. W&I uses past results to inform current audit planning, which could lead to W&I disproportionately selecting the types of returns that have historically resulted in filers' nonresponse rather than in confirmed noncompliance.
The primary system IRS uses to select specific returns for audit is the Dependent Database (DDB) program, an automated system that flags returns for potential risk of noncompliance. While IRS regularly reviews the program, the review process does not comprehensively consider data inputs and assumptions that could inform IRS about the demographic equity of the audit selection process, creating the potential for unintended bias in audit selection. For example, GAO found that some risk scores contained in the DDB program vary by sex, which could skew selection, and have not been updated since 2001.
The primary measure for assessing the performance of the DDB system is the no-change rate. IRS officials said they are piloting a new scoring model to better detect noncompliance in tax return filings, which would be used for audit selection. IRS used the amount of revenue gained through conducting the audits as a performance measure for the pilot, an indicator of the extent of noncompliance rather than just its presence. The agency may be missing opportunities to improve the likelihood that IRS is properly identifying returns at highest risk of noncompliance if it does not consider additional performance measures in reviewing its automated audit selection process.
Why GAO Did This Study
Policymakers and the public expect IRS to administer the tax code fairly. Even though IRS does not collect information on the race and ethnicity of taxpayers, some audit selection criteria and methods could have different implications for taxpayers depending on their race or ethnicity. According to one academic study, audits of EITC returns accounted for 78 percent of the overall estimated racial disparity in audit rates.
GAO was asked to examine IRS's safeguards for ensuring audits do not target filers based on demographic characteristics. This report focuses on audits that address refundable credits, including EITC, and describes IRS policies to address equity in audits; describes relevant audit planning and selection processes; and assesses how IRS considers equity both in developing its audit workplans and in its automated audit selection processes.
GAO reviewed relevant academic literature, analyzed IRS audit tools and procedures, and interviewed IRS officials. GAO assessed IRS audit selection procedures against relevant agency goals and objectives, key practices for evidence-based policymaking, and standards for internal control.
Recommendations
GAO is making six recommendations to IRS, including to calculate the no-change rate without default audits, improve its reviews of audit selection processes, and use additional performance measures in assessing its selection systems. IRS agreed to all of GAO's recommendations.
Recommendations for Executive Action
Agency Affected | Recommendation | Status |
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Internal Revenue Service | The Commissioner of Internal Revenue should direct W&I officials to calculate multiple no-change rates that include (1) the overall no-change rate, (2) the no-change rate excluding default audits, and (3) the no-change rate excluding taxpayer nonresponse default audits to provide insights into potential equity disparities. (Recommendation 1) |
In January 2025, IRS stated it plans to include three no-change rates at its annual Dependent Database review in June 2025.
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Internal Revenue Service | The Commissioner of Internal Revenue should direct W&I officials to develop guidance for considering audit equity research in developing the audit workplan. (Recommendation 2) |
In January 2025, IRS stated it plans to develop this guidance in its fiscal year 2026 work plan, which IRS expects to complete in January 2026.
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Internal Revenue Service | The Commissioner of Internal Revenue should direct W&I officials to establish a systematic process for ensuring its reviews of audit selection algorithms comprehensively consider data inputs, assumptions, and other model components. (Recommendation 3) |
In January 2025, IRS stated that it had established a process to review audit selection algorithms and approved a process to annually evaluate its scoring model. IRS indicated that these processes, started in January 2023, could take 3 to 4 years to fully implement. We will request supporting documentation and work with IRS to determine if its recent actions are sufficient to address this recommendation.
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Internal Revenue Service | The Commissioner of Internal Revenue should direct W&I officials, as part of W&I's systematic review of its automated audit selection process, to develop clear guidance for assessing the DDB system's potential to contain algorithmic biases by demographic characteristics. (Recommendation 4) |
In January 2025, IRS stated that its policies and procedures are currently in development and will include this guidance. IRS also stated that it will conduct an analysis of cases selected for audit to identify potential demographic inequity in audit selection. IRS expects this work to be completed by September 2025.
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Internal Revenue Service | The Commissioner of Internal Revenue should direct W&I officials to use additional performance measures, such as revenue protected, to assess the effectiveness of its automated audit selection system for predicting risk of noncompliance. (Recommendation 5) |
In January 2025, IRS stated that during the annual Dependent Database meeting, it reviewed both the no-change rate and revenue protected components of the filters and rules, which helped it improve the automated audit selection system. We will request supporting documentation and work with IRS to determine if these reviews are sufficient to address our recommendation.
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Internal Revenue Service | The Commissioner of Internal Revenue should direct W&I officials to assess the reliability of the Kidlink and FCR databases used in audit selection algorithms and document the results of its assessment. If appropriate, W&I should then incorporate the results of its assessment into its audit selection algorithms. (Recommendation 6) |
In January 2025, IRS stated that it plans to review the reliability of these databases and expects that review to be completed by July 2025.
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