Direct comparison
NYC Local Law 144 vs California FEHA AI Rules
New York audits the hiring tool. California extends discrimination law to it. Compare LL 144 and the FEHA automated-decision system rules.
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How do NYC Local Law 144 (6 RCNY §§ 5-300–5-304), California FEHA ADS Regulations (2 CCR, eff. 1 Oct 2025), Federal (EEOC) compare side by side?
The table below compares NYC Local Law 144 (6 RCNY §§ 5-300–5-304), California FEHA ADS Regulations (2 CCR, eff. 1 Oct 2025), Federal (EEOC) across 10 procurement-relevant dimensions, from what is regulated through key dates.
Side-by-side comparison
| Dimension | NYC Local Law 144 (6 RCNY §§ 5-300–5-304) | California FEHA ADS Regulations (2 CCR, eff. 1 Oct 2025) | Federal (EEOC) |
|---|---|---|---|
| What is regulated | The tool. An "automated employment decision tool" (AEDT) — a computational process using machine learning, statistical modelling, data analytics or AI that substantially assists or replaces discretionary decision making for an employment decision. | The employment decision. An "automated-decision system" is a computational process that makes or facilitates human decision making regarding an employment benefit; word processing software, spreadsheet software and map navigation systems are excluded. | Nothing specific to AI. Title VII and the 1978 Uniform Guidelines on Employee Selection Procedures apply to selection procedures generally, whoever or whatever runs them. |
| Legal theory | Procurement disclosure. Use of the tool is prohibited until an audit exists and its results are published — a licence-to-use condition, not a finding of discrimination. | Anti-discrimination doctrine. The regulations amend existing FEHA rules so that an ADS used in a covered employment practice is analysed under the disparate-treatment and adverse-impact frameworks that already existed. | Enforcement priority only. The EEOC's Draft Strategic Enforcement Plan (notice, 10 January 2023) names employers’ use of automated systems among its focus areas. |
| Who is liable | The employer or employment agency that uses the AEDT in the city. The vendor that built it is not the regulated party, though vendors may supply pooled historical data to the independent auditor. | The employer plus its agents. 2 CCR § 11008 defines an agent as any person acting on the employer’s behalf to exercise a function traditionally exercised by the employer, and states it "may include, in appropriate circumstances, a third party that creates an automated-decision system used by or for an employer, or a third party that uses an automated-decision system on behalf of an employer." An agent is also an "employer" for FEHA purposes. | The employer, under existing Title VII agency principles. No AI-specific allocation. |
| Is an audit required? | Yes, and it is the core duty. A bias audit by an independent auditor, conducted no more than one year before use, calculating selection or scoring rates and impact ratios for sex categories, race/ethnicity categories and intersectional categories per the EEO-1 component 1 categories. A category representing under 2% of the data may be excluded with the auditor’s written justification. | No. There is no audit obligation and no audit artifact. Anti-bias testing instead becomes evidence: § 11009(f) makes evidence of anti-bias testing or similar proactive efforts relevant to the inquiry, and the Council’s Final Statement of Reasons records that it added "efficacy" to the listed considerations alongside quality, recency, scope, results and the response to results. | No. The Uniform Guidelines contemplate validation studies, but nothing requires a periodic audit artifact. |
| Auditor independence test | Defined. Under 6 RCNY § 5-300, an auditor is not independent if they were involved in using, developing or distributing the AEDT; have an employment relationship with the employer, employment agency or vendor at any point during the audit; or hold a direct or material indirect financial interest in either. | None — there is no evaluator in the scheme, so there is no independence standard to define. | None. |
| Is anything published? | Yes. Before use, the employer must post on the employment section of its website the date of the most recent bias audit and a summary of results — the source and explanation of the data, the number of individuals in an unknown category, and the number of applicants, selection or scoring rates and impact ratios for all categories — plus the tool’s distribution date. It must stay posted for at least six months after the tool’s last use for an employment decision. | No. Nothing is published, filed or registered. Disclosure happens in litigation and administrative proceedings, not on a website. | No. |
| Candidate notice | At least 10 business days before use, to candidates and employees who reside in the city — by website posting, job posting, mail or email. The notice must include instructions for requesting an alternative selection process or a reasonable accommodation "if available", and 6 RCNY § 5-304(a) states expressly that nothing in the subchapter requires an employer to provide an alternative selection process. | No advance-notice duty is created by these regulations. (Separate California instruments, including the CPPA’s own ADMT rulemaking, address pre-use notice on privacy grounds.) | No. |
| Recordkeeping | Employers must disclose, on request, their AEDT data retention policy, the type of data collected and its source, within 30 days of a written request; the audit summary stays posted six months past last use. | Automated-decision system data falls within FEHA’s record-retention duty under Government Code § 12946(a) as amended by SB 807 (2021), implemented at 2 CCR § 11013(c) — a minimum of four years from creation or receipt of the records, or from the date the employment action was taken. | 29 CFR part 1602 recordkeeping applies to personnel records generally; no ADS-specific category. |
| Enforcement route | DCWP, complaint-driven. Individuals complain via 311 or the DCWP website. DCWP enforces only the audit and notice duties; it refers any claim of discrimination to the NYC Commission on Human Rights, which enforces the NYC Human Rights Law. | The ordinary FEHA route: a charge with the Civil Rights Department and, on a right-to-sue notice, a civil action. The aiding-and-abetting rule at 2 CCR § 11020 was expanded so the practices it already prohibited are unlawful when conducted in whole or in part through an ADS. | EEOC charge under existing statutes; no AI-specific process. |
| Key dates | Enacted 2021; effective 1 January 2023; DCWP enforcement began 5 July 2023; DCWP’s implementing rules adopted 2023. | Approved by the Office of Administrative Law and filed 27 June 2025; effective 1 October 2025. | Draft Strategic Enforcement Plan notice published 10 January 2023 — the only AI-mentioning EEOC document a Federal Register term search returns. |
Common questions
Common questions about NYC Local Law 144 (6 RCNY §§ 5-300–5-304) vs California FEHA ADS Regulations (2 CCR, eff. 1 Oct 2025) vs Federal (EEOC)
Does complying with NYC Local Law 144 mean an employer complies in California?
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No, and the two barely intersect. Local Law 144 is satisfied by obtaining an independent bias audit within the preceding year, publishing a summary of its results and the tool’s distribution date, and giving candidates 10 business days’ notice. California’s Employment Regulations Regarding Automated-Decision Systems require none of those things and are not satisfied by any of them. A California claim asks whether an employment benefit was granted or denied in a way that violates FEHA; an audit is potentially useful evidence toward a defence, but under 2 CCR § 11009(f) its quality, recency, scope, efficacy, results and the employer’s response to those results are all in play. An audit showing an adverse impact that the employer then ignored is worse than no audit at all in California, while in New York it is full compliance.
What counts as an "AEDT" under Local Law 144?
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The rules at 6 RCNY § 5-300 build on the Administrative Code definition and narrow the phrase "to substantially assist or replace discretionary decision making" to three situations: relying solely on a simplified output such as a score, tag, classification or ranking with no other factors considered; using a simplified output as one of a set of criteria where it is weighted more heavily than any other criterion; or using a simplified output to overrule conclusions derived from other factors, including human decision-making. A tool that produces a score a human recruiter treats as one input among several, weighted no more than the others, falls outside that test.
Do California’s rules reach the vendor that sold the hiring tool?
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They can. The Civil Rights Council added a definition of "agent" to 2 CCR § 11008 covering any person acting on an employer’s behalf, directly or indirectly, to exercise a function traditionally exercised by the employer — applicant recruitment, screening, hiring, promotion, or decisions about pay, benefits or leave — and it states that an agent "may include, in appropriate circumstances, a third party that creates an automated-decision system used by or for an employer, or a third party that uses an automated-decision system on behalf of an employer." An agent of an employer is also an "employer" for purposes of the Act. The Council considered and declined requests to carve consumer reporting agencies out of that definition, noting they may still meet it to the extent they perform FEHA-regulated activity. The word "may" and the phrase "in appropriate circumstances" are doing real work here — this is a fact-specific test, not an automatic vendor-liability rule.
Is there a federal rule on AI in hiring?
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Not as a rule. A Federal Register full-text search for "artificial intelligence" restricted to documents issued by the Equal Employment Opportunity Commission returns exactly one result: the agency’s Draft Strategic Enforcement Plan, a notice published on 10 January 2023 seeking comment on its 2023–2027 enforcement priorities, which names employers’ increasing use of automated systems to target job advertisements and inform hiring decisions. That is a statement of where the agency intends to look, not a regulation. Existing federal law — Title VII, the ADA, the ADEA, and the 1978 Uniform Guidelines on Employee Selection Procedures — applies to automated selection procedures the same way it applies to any other, which is precisely the theory California codified and New York did not.
Do these rules apply to universities and research institutions?
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Yes, on both coasts, and neither instrument exempts them. Local Law 144 binds employers and employment agencies using an AEDT in New York City, which includes universities and academic medical centres hiring research staff, postdocs or administrative personnel through a screening tool that meets the AEDT test. In California the point is on the record: the Civil Rights Council expressly declined a request from the Alliance for Digital Innovation to exclude public bodies from the rulemaking, reasoning that FEHA’s own definition of employer includes "the state or any political or civil subdivision of the state, and cities." Public university systems are therefore covered as FEHA employers, and the "agent" definition can reach the applicant-tracking or screening vendor an HR or sponsored-programs office procures.
How does this relate to NIKOLAI?
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NIKOLAI is CASRAI’s own independent frontier-AI-safety dictionary. It is not endorsed by any organization whose published terms it reads, and every crosswalk row in it is a shadow mapping unless that organization has filed a Mapping Declaration. Its N8 element "Evaluator Independence and Conflict of Interest" records the financial, organisational and personal relationships between an evaluator and the party being assessed, along with the verification process used to clear the evaluator. Local Law 144’s "independent auditor" definition at 6 RCNY § 5-300 is a working legal instance of that same three-part structure: no involvement in using, developing or distributing the tool; no employment relationship with the employer or vendor during the audit; no direct or material indirect financial interest in either. NIKOLAI’s crosswalk for that element does not currently carry a DCWP row, and this page does not claim one exists — the parallel is CASRAI’s structural reading, not New York’s.
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