Does EEOC's position apply to AI tools from third-party vendors?

Yes. Employers are liable for discriminatory outcomes from AI hiring tools even when the tool is provided by a third-party vendor. The employer cannot shift liability to the vendor by contract.

What is the four-fifths rule and how does it apply to AI hiring?

The four-fifths rule (also called the 80% rule) is EEOC's primary test for adverse impact. If the selection rate for one group (e.g., Black applicants) is less than four-fifths (80%) of the selection rate for the highest-selected group (e.g., white applicants), that is a prima facie case of adverse impact.

What documentation should employers request from AI hiring tool vendors?

Request: (1) adverse impact studies on the specific tool (not just general studies), (2) the demographic groups tested, (3) the job categories and tasks the tool was validated for, (4) the validation methodology (content validity, criterion validity, or construct validity), (5) the training data composition, (6) whether the tool has been audited by an independent.

What AI hiring tools does EEOC guidance cover?

EEOC guidance covers AI tools used in hiring, promotion, and other employment decisions: resume screening and ranking tools, video interview analysis software, skills or aptitude assessment tools, chatbot-based screening interviews, background check AI, employee performance monitoring that feeds into promotion or termination decisions.

Is candidate disclosure required for AI hiring tools?

Federal law does not impose a candidate disclosure requirement for AI hiring tools. State and local laws do. New York City Local Law 144 requires bias audits and candidate notification for AI employment decision tools. Illinois requires written notice and consent before AI video interview analysis. Maryland HB 1202 requires disclosure before AI facial recognition analysis is used in hiring.

EEOC AI Hiring Guidance 2026: Employer Compliance Checklist

EEOC's position is that Title VII, ADA, and ADEA disparate impact doctrine applies to AI hiring tools, employers are liable for discriminatory outcomes even when the tool was built and sold by a third-party vendor. EEOC's May 2023 Technical Assistance document was withdrawn in January 2025, but the underlying statutes remain in force and the employer liability framework has not changed. The checklist below covers the 8 steps employers need to audit, document, and monitor when using AI tools in any part of the hiring process.

EEOC has confirmed that Title VII disparate impact doctrine applies to AI hiring tools. Employers using AI to screen, rank, or evaluate applicants bear responsibility for discriminatory outcomes, even when the tool comes from a third-party vendor. This checklist gives you the 8 steps to assess your exposure and build a defensible audit trail.

TL;DR: Title VII, ADA, and ADEA's disparate impact doctrine applies to AI hiring tools, employers remain liable for discriminatory outcomes even when using a third-party AI vendor. Note: EEOC's 2023 Technical Assistance document on this topic was withdrawn in January 2025 per Executive Order 14173, but the underlying statutes and Uniform Guidelines remain in force. The 8-step employer checklist: (1) classify which tools are subject to disparate impact analysis, (2) obtain vendor adverse impact studies, (3) run your own four-fifths rule calculation, (4) document the business necessity for each tool, (5) document job-relatedness and validation evidence, (6) implement candidate disclosure (where required by state/local law), (7) establish a bias monitoring cadence, (8) document your audit trail. Employers who rely solely on vendor assurances are not protected from liability.

Why Existing Civil Rights Law Applies to AI Hiring Tools

Note on EEOC guidance status: EEOC issued a Technical Assistance document in May 2023 applying Title VII, ADA, and ADEA to AI hiring tools. That guidance was withdrawn in January 2025 per Executive Order 14173 ("Ending Illegal Discrimination and Restoring Merit-Based Opportunity"). The withdrawal of the guidance document does not change the underlying law: Title VII, ADA, and ADEA remain in force, and disparate impact doctrine continues to apply to AI hiring tools under the same legal framework that has governed pencil-and-paper tests since the 1970s. Employer liability for discriminatory AI screening is a function of statute and case law, not EEOC guidance.

Three federal statutes are directly relevant to AI hiring tools:

Title VII (Civil Rights Act): prohibits employment discrimination based on race, color, religion, sex, or national origin
ADEA (Age Discrimination in Employment Act): covers workers 40 and older
ADA (Americans with Disabilities Act): requires employers to make reasonable accommodations, and prohibits screening out qualified candidates with disabilities

The key doctrine is disparate impact: even a facially neutral AI tool can violate these laws if it produces outcomes that disproportionately harm a protected class. Intent is irrelevant. If the outcome is discriminatory, the employer is liable.

EEOC AI hiring guidance and employer compliance review

The 8-Step EEOC AI Hiring Compliance Checklist

Step 1: Classify Which Tools Are Subject to EEOC Guidance

List all AI tools used in your hiring, promotion, or employment decision process. A tool is subject to EEOC guidance if it:

Screens, ranks, or scores applicants or employees
Analyzes video, audio, or text from interviews
Predicts performance, engagement, or retention
Influences who proceeds to the next stage or receives an offer

Tools used only for scheduling, calendar management, or administrative tasks are generally outside scope.

Step 2: Obtain Vendor Adverse Impact Studies

For each in-scope tool, request from the vendor:

Adverse impact study for the specific tool and version you use
Demographic groups tested (race/ethnicity, sex, age, disability status)
Job categories and tasks the validation covers
Selection rate data by group and the four-fifths rule calculation
Date of the study and whether it covers your specific use case

If the vendor cannot provide this documentation, or provides only a general company-level statement rather than tool-specific validation, that is insufficient. Treat it as a gap requiring your own investigation.

Step 3: Run Your Own Four-Fifths Rule Calculation

Do not rely solely on vendor studies. After the tool has been running for at least 30 days, pull your selection data and calculate:

Four-fifths rule formula: Selection rate for protected group ÷ Selection rate for highest-selected group

If the result is below 0.80 (80%), document the disparity and investigate the cause.

Minimum sample size for statistical reliability: 30 per group. Below 30, you cannot run the calculation meaningfully, document this limitation and plan to revisit when you have sufficient data.

Step 4: Document Business Necessity

If adverse impact exists, EEOC requires you to demonstrate that the tool is justified by business necessity. Document:

The specific job-related competency or attribute the tool measures
Why that competency is necessary for the role
Why the AI tool is an appropriate way to measure it

Business necessity is a high bar. "The vendor said it predicts performance" is not enough. You need evidence that the measured attributes are genuinely required for the job.

Step 5: Document Job-Relatedness and Validation Evidence

Tools must be validated for the specific job and context you use them in. Three acceptable validation approaches under EEOC's Uniform Guidelines on Employee Selection Procedures:

Validation type	What it shows
Content validity	The tool measures skills directly required for the job
Criterion validity	Tool scores correlate with actual job performance
Construct validity	The tool measures a construct (e.g., "analytical thinking") linked to job performance

Request the vendor's validation study. Confirm it covers your job category, not just a general population. If you are using a tool validated for one role type in a different role type, you may need a separate validation study.

Step 6: Implement Candidate Disclosure Where Required

Federal EEOC guidance does not require employers to disclose AI use to candidates. But these state and local laws do:

Jurisdiction	Requirement	Effective
New York City Local Law 144	Bias audit required; results published; candidates notified	Already in effect
Illinois AI Video Interview Act	Applicants told before the interview that AI may analyze it, how it works and what it evaluates; consent before the interview (positions based in Illinois)	In effect since 2020
Illinois HB 3773	No AI with a discriminatory effect in employment decisions; notice to employees that AI is used	In effect since January 1, 2026
Maryland HB 1202	Candidates notified before AI facial recognition analysis used in hiring	Already in effect
Connecticut SB 5	Disclosure when AI used in consequential employment decisions	October 1, 2027

Check your jurisdiction and add disclosure language to your job application or interview confirmation email if required.

Step 7: Establish a Bias Monitoring Cadence

EEOC compliance is not a one-time audit. AI tools can drift, model updates, changes in applicant pools, or changes in job requirements can shift outcomes over time. Build a monitoring cadence:

Quarterly: Pull selection rate data by protected group; recalculate four-fifths rule
Annually: Full audit, re-request vendor validation documentation; review any EEOC guidance updates
On tool update: Rerun adverse impact analysis after any vendor model update

Assign one person as the owner of this monitoring. Without an owner, it does not happen.

Step 8: Build Your Audit Trail

Maintain a single document per AI hiring tool with:

Tool name, vendor, version, and date first deployed
Scope: job roles and stages where tool is used
Vendor validation documentation (save a copy, vendors change their documentation)
Your four-fifths rule calculations by quarter
Disclosure language used and jurisdictions covered
Any adverse impact findings and actions taken

If EEOC investigates a complaint, this documentation demonstrates good faith compliance. The absence of documentation is itself a liability.

Where to Go Next

For the full picture of AI employment law in the US and EU, including the EU AI Act's Annex III requirements for AI hiring tools, see HR AI governance, what EU AI Act and EEOC require. For state law requirements across all US jurisdictions, see AI hiring tool compliance, US state laws 2026. For Connecticut SB 5, where using a hiring tool stopped being a defense to discrimination claims on October 1, 2026 and applicant notices start October 1, 2027, the Connecticut SB 5 employer checklist maps the steps. The act has no bias-audit mandate.

Before adding any new AI hiring tool, run it through the AI vendor due diligence checklist, Step 2 above (vendor documentation) maps directly to what to request in that process.

Correction (October 13, 2026): An earlier version described Connecticut SB 5 as having audit requirements starting October 1, 2026. It has no audit mandate; its notices start October 1, 2027.

Correction (October 20, 2026): An earlier version said the Illinois AI Video Interview Act requires written consent. It requires consent before the interview and doesn't say written; HB 3773, a separate law, was added to the table (820 ILCS 42).