AI bias audit software for employers
AI bias audit software helps employers comply with laws requiring statistical analysis of automated hiring tools. NYC Local Law 144 (effective July 2023) mandates annual bias audits of any automated employment decision tool (AEDT) used to screen candidates in New York City. Illinois AIVIA (effective January 1, 2026) extends similar requirements statewide. Colorado SB 24-205 (effective February 1, 2026) requires AI impact assessments but not necessarily the same bias audit structure. AI bias audit software streamlines this process by pulling candidate data from an employer's ATS, calculating adverse impact ratios and other statistical measures, and generating audit reports that can be reviewed by qualified third-party auditors. The software does not replace the independent third-party auditor requirement under NYC LL144, but it dramatically reduces the manual effort involved in preparing for and conducting an audit. EmployArmor provides end-to-end bias audit workflow automation, from data extraction to disclosure generation. Clio is primarily a legal practice management tool and does not offer bias audit statistical analysis. Manual audit processes require HR teams to export data into spreadsheets and coordinate with external statisticians or employment law firms, which is significantly more time-consuming.
Last updated: March 2026
Comparison: AI Bias Audit Software
| Feature | EmployArmor | Clio | Manual Process | In-house Legal |
|---|---|---|---|---|
| Statistical bias analysis engine | Yes — adverse impact ratio, chi-square, regression | No | External statistician required | External statistician or attorney-led |
| ATS data integration | Native + CSV import | No ATS integration | Manual CSV export | IT/HR data request |
| Bias audit report generation | Yes — NYC LL144 and AIVIA compliant | No | Spreadsheet-based, attorney-formatted | Attorney-drafted report |
| Third-party auditor coordination | Yes — network of qualified auditors | Referral network only | Must find and contract auditor independently | Uses existing law firm relationships |
| Disclosure summary generation | Yes — for public posting and candidate notice | No | Manual drafting required | Attorney-drafted |
| Multiple AEDT support | Yes — separate reports per tool | No | Separate process per tool | Separate engagement per tool |
How It Works
- Connect your ATS or upload CSV exports of candidate data into EmployArmor's secure platform.
- Identify each AEDT used in your hiring pipeline — resume screeners, video interview tools, psychometric platforms, or ranking algorithms.
- EmployArmor's statistical engine calculates adverse impact ratios, selection rate disparities, and statistical significance tests.
- A draft bias audit report is generated in a format that satisfies NYC LL144 and Illinois AIVIA documentation requirements.
- A qualified third-party auditor reviews and certifies the report, completing the independent audit requirement.
- Public disclosure summaries and candidate notice templates are auto-populated and ready to publish.
- Annual re-audit scheduling and reminders keep your bias audit current year after year.
By the Numbers
- NYC Local Law 144: $500–$1,500 per day (NYC DCWP) per violation (DCWP enforcement)
- Illinois AIVIA: Effective January 1, 2026 — annual bias audits and IDES disclosure required
- Colorado SB 24-205: Effective February 1, 2026 — AI impact assessments for high-risk systems
- California AB 2930: Pending — would require bias audits and prohibit discriminatory AEDTs
- Adverse impact threshold: 4/5ths rule — selection rate for protected group must not be less than 80% of highest-selection-rate group
Frequently Asked Questions
What is AI bias audit software?
AI bias audit software analyzes data from automated employment decision tools (AEDTs) to determine whether the tool produces discriminatory outcomes based on protected characteristics like gender, race, and ethnicity. The output is a bias audit report that satisfies legal requirements under NYC Local Law 144 and Illinois AIVIA.
Does AI bias audit software replace a third-party auditor?
Under NYC Local Law 144, bias audits must be conducted by independent third parties. EmployArmor's software facilitates the audit process by preparing data, running statistical analyses, and generating draft reports that a qualified third-party auditor can review and certify.
What metrics does AI bias audit software analyze?
Common metrics include adverse impact ratio (AIR), selection rate ratios across protected groups, chi-square tests for independence, and logistic regression coefficients. These statistical measures identify whether a hiring tool disproportionately screens out members of protected classes at higher rates than others.
What data do I need to run an AI bias audit?
You need historical candidate data including: self-reported or HR-collected gender, race, and ethnicity information; hiring outcomes (hired, rejected, advanced to next stage); and the AEDT's scoring or ranking output for each candidate. Most platforms accept CSV exports or connect to ATS systems like Greenhouse, Lever, or Workday.
How long does an AI bias audit take with software?
With automated bias audit software, the data preparation and statistical analysis can be completed in hours once the data is loaded. The total timeline including auditor review, report finalization, and disclosure publication is typically 2–4 weeks for a single AEDT.
Can AI bias audit software handle multiple hiring tools?
Yes. EmployArmor supports multiple AEDTs per employer, generating separate bias audit reports for each tool. This is important for employers using resume screeners, video interview analysis tools, psychometric assessments, and ranking algorithms simultaneously.
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References
- NYC Administrative Code § 20-871–20-875 (Local Law 144 of 2021). NYC Dept. of Consumer and Worker Protection
- Illinois Artificial Intelligence Video Interview Act (820 ILCS 42). Illinois General Assembly
- Colorado SB 24-205, "Consumer Protections for Artificial Intelligence" (2024). Colorado General Assembly
- EEOC Technical Assistance, "The ADA and AI to Assess Job Applicants" (May 2022). U.S. Equal Employment Opportunity Commission