Employers and employment agencies must publish a summary of the bias audit results
Download: JSON · MarkdownUnder NYC Local Law 144 (automated employment decision tools), NYC Administrative Code Section 20-871(a)(2); 6 RCNY Section 5-302
What this label means
- Verified
- — a named reviewer opened the official source and confirmed the record; the date and the reviewer are shown.
- Pending review
- — linked to the official source and in the queue for a reviewer to confirm.
- Source-linked
- — linked to the official source, not yet confirmed by a reviewer.
On this page 9 sections
In brief
Employers and employment agencies must publish a summary of the bias audit results is a legal requirement under NYC Local Law 144 (automated employment decision tools) in New York (United States) (NYC Administrative Code Section 20-871(a)(2); 6 RCNY Section 5-302). It applies from 5 July 2023. The record carries 1 evidence example and mappings to 2 frameworks.
- Jurisdiction
- New York (United States)
- Nature
- Legal requirement
- Source reference
- NYC Administrative Code Section 20-871(a)(2); 6 RCNY Section 5-302
- Applies from
- 5 July 2023
- Who it binds
- Deployer / user organisation
- Evidence examples
- 1
- Framework mappings
- NIST AI Risk Management Framework 1.0, ISO/IEC 42001:2023
- Controls that meet it
- 2
- Official source
- Open official text
- Verification
- Verified against the official source 26 Sep 2026
What does it require?
Before using an automated employment decision tool, the employer or employment agency must make a summary of the most recent bias audit results and the distribution date of the tool publicly available on the employment section of its website. Under the DCWP rules the summary states the audit date, the data source and type, the number of applicants or candidates in each category, and the selection or scoring rates and impact ratios, and must remain posted for at least six months after the tool was last used.
Practical action
Post the audit summary and distribution date on the careers page before go-live and refresh it with each annual audit.
Who does it apply to?
Employers and employment agencies using an automated employment decision tool for New York City residents.
- Sectors
- Employment and HR
- Use cases
- AI in hiring and employment
Applies from:
Which controls meet this duty?
Satisfies: the control, operated properly, does the work the duty asks for. Supports: it contributes but the duty needs more. Each control page lists every other duty it serves, so work done once can be counted once.
-
satisfiesProcessProduct owner · at launch and on material changeAI interaction and use disclosure notices
Serves 18 recorded duties · evidence: AI interaction or use notice, Notice catalogue, Notice wording approval
Public posting of audit results is a disclosure to candidates.
-
supportsTechnical measureQuality or testing lead · at launch and on material changeAccuracy, robustness, fairness and security testing
Serves 15 recorded duties · evidence: Pre-release test report, Test plan and acceptance criteria, Release test sign-off
Produces the results being summarised.
Templates that cover this duty
Generated from the records. Free · no account · links emailed to your work address. This duty is cited in each file with its source reference and a link back here.
- AI Agent Registry and Permission Matrix
Register · XLSX and DOCX · v6
- EU AI Act Article 50 Transparency Kit
Kit · DOCX and XLSX · v44
- ISO/IEC 42001 Gap Assessment and Statement of Applicability
Assessment · XLSX · v3
- NIST AI RMF ↔ EU AI Act ↔ ISO/IEC 42001 Crosswalk
Crosswalk · XLSX · v5
What evidence would a reviewer expect?
| Evidence | Type | Notes |
|---|---|---|
| Published bias audit summary with distribution date | document |
Framework mappings
Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.
See every New York (United States) duty mapped this way →
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| NIST AI RMF 1.0 | GOVERN 4.2, MEASURE 2.11 | Public transparency of fairness results. | medium |
| ISO/IEC 42001:2023 | Annex A.8.3, A.8.5 | External reporting and information for interested parties. | medium |
Frequently asked questions
Is this a legal requirement?
Yes. It is a legal requirement under NYC Local Law 144 (automated employment decision tools) (NYC Administrative Code Section 20-871(a)(2); 6 RCNY Section 5-302).
Who must comply with this obligation?
Employers and employment agencies using an automated employment decision tool for New York City residents.
When does this obligation apply?
It applies from 5 July 2023.
What evidence shows compliance?
A reviewer would expect: Published bias audit summary with distribution date.
Which frameworks map to this obligation?
It is mapped to NIST AI Risk Management Framework 1.0 GOVERN 4.2, MEASURE 2.11, ISO/IEC 42001:2023 Annex A.8.3, A.8.5. These are editorial crosswalks with a stated confidence, not official mappings.
Which controls satisfy this obligation?
AI interaction and use disclosure notices; Accuracy, robustness, fairness and security testing.
What should an organisation do in practice?
Post the audit summary and distribution date on the careers page before go-live and refresh it with each annual audit.
Cite this record
AIPolicyTracker (2026). “Employers and employment agencies must publish a summary of the bias audit results (NYC Local Law 144 (automated employment decision tools))” [AIPT-OBL-0100, verified 26 September 2026 by Bhaskar Bhatt]. https://aipolicytracker.org/id/AIPT-OBL-0100 (accessed 8 November 2026). Data licensed CC BY 4.0.
Permanent id AIPT-OBL-0100: it never changes or gets reused, and its address keeps working if this page moves.
Cite the official text alongside it: Automated Employment Decision Tools (AEDT), NYC Department of Consumer and Worker Protection, https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page.
BibTeX
@misc{aipolicytracker2026_employersandemploymentag,
author = {{AIPolicyTracker}},
title = {{Employers and employment agencies must publish a summary of the bias audit results (NYC Local Law 144 (automated employment decision tools))}},
year = {2026},
howpublished = {\url{https://aipolicytracker.org/obligations/us-new-york-city-local-law-144-publish-audit-summary}},
url = {https://aipolicytracker.org/obligations/us-new-york-city-local-law-144-publish-audit-summary},
urldate = {2026-11-08},
note = {Data licensed CC BY 4.0. Accessed 8 November 2026}
}
Change history
No change to this record's tracked fields has been recorded since 15 October 2026, when field-level history began.
Similar obligations in other instruments
- Employers must inform workers and their representatives before using high-risk AI at work — EU AI Act, European Union
- Disclose AI interaction and label synthetic content — EU AI Act, European Union
- Deployers must tell natural persons that a high-risk AI system is used in decisions about them — EU AI Act, European Union
- Deployers of emotion recognition or biometric categorisation must inform exposed persons — EU AI Act, European Union
- Deployers must disclose deepfakes and AI-generated text published on matters of public interest — EU AI Act, European Union
- Providers of generative AI must mark synthetic output as artificially generated in a machine-readable way — EU AI Act, European Union
- Deployers must explain individual decisions taken with high-risk AI on request — EU AI Act, European Union
- Frontier developers must publish a transparency report before deploying a new frontier model — California SB 53, California (United States)
Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.