AxiLayer AI crestAxiLayerAI™
Industries · AI Employment & Workforce Decisioning

From One City to a National Patchwork. One Evidence Base for Every Hire.

What began as a single New York City hiring-tool ordinance is now a multi-state compliance regime: Illinois requires notice, California requires four-year recordkeeping and treats anti-bias testing as evidence, Connecticut's CART Act took effect on 1 October 2026, Colorado's replacement law applies from 1 January 2027, and California's No Robo Bosses Act follows on 1 July 2027. AxiSentinel evaluates employment AI against whichever jurisdiction's rule actually applies to a given hire.

$7.01B → $30.77B
Global AI-in-HR Market, 2024 to 2034
5
Jurisdictions With Binding Employment-AI Rules in Force or Enacted
Jan 1, 2027
Colorado's Replacement Law (SB 26-189) Takes Effect
17+
Potential Violations State Auditors Found at 32 Companies Under NYC's Hiring-AI Law, Where the City Found 1
15.94%
CAGR Through 2034, AI-in-HR Market

Last verified: 23 October 2026

AxiLayer AI Assurance Intelligence

Mandates and deadlines for AI Employment & Workforce Decisioning

18 industry-specific mandates and 61 that apply across all industries, worldwide.

Next date for this industry: 1 Nov 2026, Egypt PDPL compliance period ends.

See all 79 mandates →
See every deadline →
WHAT'S CHANGING

From One Ordinance to a Live Compliance Regime

NYC's Local Law 144 was the first hiring-AI ordinance in the country when it took effect in 2023. It is no longer the only rule that matters: Illinois, California, Colorado, and now Connecticut have each added binding obligations of their own, a December 2025 government audit found NYC's own enforcement of the original law is not working as designed, and Illinois itself has since paused its own implementing rules while the underlying statute stays in force.

Jul 5, 2023
NYC Local Law 144 Takes Effect
The first US hiring-AI ordinance: annual third-party bias audits and candidate notice for automated employment decision tools.
Oct 1, 2025
California's FEHA Regulations Take Effect
Employers using automated decision systems in hiring must retain records for four years and provide reasonable accommodations, and anti-bias testing, or its absence, becomes relevant evidence.
Jan 1, 2026
Illinois HB 3773 Takes Effect
Amends the Illinois Human Rights Act: AI that has the effect of discriminating in recruitment, hiring, promotion, or discharge is a civil rights violation, with mandatory employee notice.
Apr 27, 2026
Enforcement of Colorado's Original AI Act Stayed
A federal magistrate entered a stipulated order staying enforcement of SB 24-205 in xAI's constitutional challenge, in which the Department of Justice intervened.
May 14, 2026
Colorado Enacts SB 26-189
Repeals and replaces SB 24-205 with a narrower, notice-based approach: pre-use notice, post-adverse-outcome disclosure within 30 days, and a January 1, 2027 effective date.
Dec 2, 2025
New York State Comptroller Audit Finds Enforcement Gaps
A state audit of 32 companies found at least 17 instances of potential non-compliance with Local Law 144, against just one issue the city's own enforcement had identified.
Jun 2, 2026
Connecticut Enacts the CART Act
Public Act 26-15 adds Connecticut as a fifth jurisdiction; its framework took effect on 1 Oct 2026, with employee notice duties for AI in hiring and employment decisions from 1 Oct 2027.
Jun 2, 2026
Illinois Pauses Its Own Implementing Rules
IDHR temporarily withdraws its proposed HB 3773 rules (Title 44, Part 2520) to continue interagency coordination; the underlying notice statute remains fully in effect.
Aug 11, 2026
Colorado Proposes SB 26-189 Rules
The Attorney General published proposed rules implementing the replacement law ahead of its 1 Jan 2027 start.
Sep 30, 2026
California Signs the No Robo Bosses Act
SB 947 bars relying solely on automated systems for discipline or termination and requires human review, operative 1 Jul 2027; SB 951 and AB 1883 add AI layoff disclosures and limits on emotion-inferring workplace surveillance from 1 Jan 2027.
An independent audit found more non-compliance in 32 companies than the city's own enforcement agency found across two years of complaints.

The evidence gap

An annual bias audit is a once-a-year snapshot. AxiSentinel is built for what happens the other 364 days: continuous evidence that a hiring or promotion model still tests the way its last audit said it would.

Who this page is for

  • Employers deploying AI in recruitment, hiring, promotion, or termination decisions
  • HR-technology vendors selling automated employment decision tools
  • Compliance teams tracking a growing state-by-state patchwork
  • Employers operating in NYC facing an enforcement environment now under public scrutiny
Global Coverage

Every Jurisdiction That Has Regulated Employment AI

Coverage is jurisdiction-by-jurisdiction, not federal. AxiSentinel tracks the growing list the same way it tracks every other multi-jurisdiction patchwork.

UNITED STATES / NEW YORK CITY
Local Law 144 (First Ordinance)
LIVE

In force since July 5, 2023; requires an annual third-party bias audit and candidate notice before an automated employment decision tool is used.

  • Bias audit requirement: third-party audit published and made publicly available.
  • Enforcement gap: a December 2025 city audit found DCWP received only two complaints in two years and found one issue where state auditors found at least 17.
AxiSentinel coverage: LIVE in the RegDef library today.
UNITED STATES / CALIFORNIA
FEHA Automated-Decision-System Regulations
LIVE

In force since October 1, 2025; requires four-year record retention and reasonable accommodation processes for ADS tools, and makes anti-bias testing relevant evidence.

  • Disparate-impact liability: a facially neutral tool is unlawful unless the employer proves business necessity.
  • Recordkeeping: ADS data now covered by the same four-year retention as other personnel records.
AxiSentinel coverage: LIVE in the RegDef library today.
UNITED STATES / ILLINOIS
HB 3773 (Human Rights Act Amendment)
LIVE

In force since January 1, 2026; AI with the effect of discriminating in employment decisions is a civil rights violation, with mandatory employee notice.

  • Effects-based liability: intent is not required, only discriminatory effect.
  • Notice requirement: employees must be told when AI is used in a covered decision.
  • Rulemaking paused, statute unchanged: IDHR withdrew its proposed implementing rules June 2, 2026 pending interagency coordination; the notice obligation itself remains in force regardless.
AxiSentinel coverage: tracked, RegDef package build scheduled.
UNITED STATES / COLORADO
SB 26-189 (Replaces SB 24-205)
IN FORCE JAN 2027

Signed May 14, 2026 after a federal court blocked the original AI Act; takes effect January 1, 2027 with a narrower, notice-based approach.

  • Pre-use notice: deployers must notify before a covered system is used in a consequential decision.
  • Post-adverse-outcome disclosure: a plain-language explanation owed within 30 days of an adverse decision.
AxiSentinel coverage: tracked, RegDef package build scheduled.
UNITED STATES / CONNECTICUT
CART Act (Public Act 26-15)
ENACTED

Signed June 2, 2026, adding Connecticut as the fifth US jurisdiction with binding employment-AI obligations, including notice when AI is used in hiring and employment decisions.

  • Disclosure duty: employees must be told when automated employment-related decision technology is used.
  • Part of a broader law: the same act also covers youth online safety and AI transparency requirements outside the employment context.
AxiSentinel coverage: tracked, RegDef package build scheduled.
UNITED STATES / CONNECTICUT & MAINE
Electronic Employee-Monitoring Notice Laws
LIVE EXPANDING

A separate track from employment-decision AI: these laws govern the monitoring tools themselves, and regulators are already reading them to reach AI transcription, chatbot, and performance-management software.

  • Maine, LD 61, in force since July 2026: prior notice to candidates, annual written notice to current employees, and a ban on requiring tracking apps on personal devices. Its broad definition of electronic monitoring is read to reasonably cover AI-driven monitoring tools.
  • Connecticut’s expanded electronic-monitoring law, in effect since 1 October 2026: prior written notice naming the monitoring types and locations, conspicuous postings at each monitored location, and plain-language new-hire disclosures. Employers are expected to assess whether AI note-taking, chatbot, and performance-tracking tools count as monitoring in scope.
  • The trade-secret angle: under the federal Defend Trade Secrets Act, an owner keeps trade-secret status only by showing it took reasonable measures to protect the information. An employee uploading proprietary drawings or source code to a public AI tool, with no governance policy in place, can undermine that showing, making an AI-use policy part of the legal duty, not just an IT preference.
AxiSentinel coverage: tracked, RegDef package build scheduled.
FEDERAL
EEOC Guidance & State Preemption Debate
UNRESOLVED

No federal employment-AI statute is in force; existing Title VII disparate-impact theory already applies to hiring algorithms regardless of state law.

  • Watch item: a federal preemption push has not invalidated any state employment-AI law as of this writing.
AxiSentinel coverage: tracked as a watch item.
CANADA / ONTARIO
Employment Standards Act, O. Reg. 476/24
LIVE

In force since January 1, 2026; employers with 25 or more employees must disclose in publicly advertised job postings whether AI is used to screen, assess, or select applicants.

  • Disclosure trigger: any public job posting where AI screens, assesses, or selects candidates.
  • Employer threshold: applies to organizations with 25+ employees on the day the posting is made.
AxiSentinel coverage: tracked, RegDef package build scheduled.
CROSS-CUTTING
NIST AI RMF & ISO/IEC 42001
LIVE

General-purpose AI risk-management frameworks that already apply to any hiring, promotion, or termination model an employer deploys.

  • Applies today: a resume-screening or interview-analysis tool is squarely inside these frameworks' scope, state law aside.
AxiSentinel coverage: live in the RegDef library today.
Coverage

Use cases we evaluate

From a single hiring model to a national talent-acquisition stack, AxiSentinel evaluates the software and evidence continuously, not just at annual-audit time.

Bias-audit continuity evidence
Continuous evidence that a hiring model still tests the way its last annual bias audit said it would, not just on audit day.
Candidate AI-use notice compliance
Evidence that candidates received the notice their jurisdiction requires, at the point their jurisdiction requires it.
Disparate-impact testing evidence
Evidence of pre- and post-deployment testing for disparate impact across protected characteristics.
Business-necessity defense documentation
Evidence supporting a job-relatedness and business-necessity defense for a facially neutral tool with disparate impact.
Four-year ADS recordkeeping evidence
Evidence that automated-decision-system data is retained for the period California's regulation requires.
Reasonable-accommodation process evidence
Evidence that a disability or other accommodation request tied to an ADS assessment was actually processed.
Multi-jurisdiction notice-timing reconciliation
Evidence reconciling New York City, Illinois, California, and Colorado's different notice-timing requirements for one national employer.
Post-adverse-outcome disclosure evidence
Evidence that Colorado's 30-day plain-language disclosure was actually delivered after an adverse decision.
Vendor bias-audit package evidence
Evidence an HR-technology vendor can hand to the employers deploying its hiring tools.
Resume-screening model validation tracking
Evidence that a resume-screening model's outputs generalize as tested, not just as originally validated.
Video-interview-analysis model evidence
Evidence for tools assessing facial expression, voice tone, or other characteristics in video interviews.
Promotion and termination decision-AI audit trail
Continuous evidence for AI-assisted decisions beyond hiring, including promotion and termination.
NYC Local Law 144 enforcement-readiness evidence
Preparation evidence ahead of DCWP's own investigation, in the wake of the audit finding its enforcement gaps.
New-jurisdiction enactment readiness tracking
Preparation evidence ahead of the next state or city's employment-AI law taking effect.
Model-drift detection for hiring AI
Evidence that a hiring model's behavior hasn't silently drifted from what its last audit confirmed.
Third-party AI vendor diligence evidence
Evidence of the audit rights and oversight an employer exercises over its HR-technology vendors.
Cross-jurisdiction AI-in-employment inventory evidence
Evidence of every AI system in use across recruitment, hiring, promotion, and termination, mapped to jurisdiction.
Consumer and candidate complaint-pattern evidence
Evidence connecting AI-assisted decisions to any resulting candidate complaints or charges.
EEOC and state-agency examination readiness
Preparation evidence ahead of a federal or state agency's own AI-focused employment investigation.
Regulatory-exam and litigation-hold evidence package
A single evidence package assembled for either an agency exam or a litigation hold, without rebuilding it from scratch.
Auditable AI Decisions

AI-assisted hiring and workforce decisions you can explain

Employers use AI to screen, rank and promote people. Hiring laws in several U.S. states and cities, and the EU AI Act, treat these as high-stakes decisions that need fairness testing, notice and human review.

  • Decision recordsCriteria, assumptions and risks recorded for each AI-assisted hiring or workforce decision.
  • Traceable rationaleEach outcome linked to the job-related criteria and data it used.
  • Bias auditsOutcomes compared across groups and recorded as explicit, testable items.
  • Human review and refreshA named reviewer approves, and decisions are reviewed again when tools or roles change.
A qualified AxiLayer AI auditor reviews and signs every decision record before it counts.
AI cybersecurity

AI cybersecurity for employment and workforce AI

Hiring AI reads documents from strangers, which makes it an easy target for hidden instructions and data theft. AxiLayer AI works hand in hand with your cybersecurity team to test, monitor and evidence that these AI systems stay secure, under your written authorization.

Threats we assess

Hidden instructions in resumes
Invisible text that tries to steer an AI screener toward a candidate.
Applicant data leakage
Personal data exposed through screening tools, logs or vendors.
Vendor model changes
Screening models updated without notice, changing results and controls.

Security rules and standards to plan for

EU AI Act
Employment AI is high-risk, with Article 15 security and robustness from 2 December 2027.
NYC Local Law 144
Annual bias audits by an impartial third-party auditor for automated employment decision tools.
California CCPA regulations
Rules on automated decisionmaking, risk assessments and cybersecurity audits take effect from 1 January 2027.

Explore AI Cybersecurity Request an AI Cybersecurity Readiness Review

Status as of 28 October 2026. General information, not legal advice. Certifications, CE marking and regulated assessments named here are issued by the bodies the law designates.

Questions

Frequently asked questions

What laws regulate AI in hiring and employment in 2026?

Five U.S. jurisdictions have binding employment-AI rules in force or enacted. NYC Local Law 144 has required annual third-party bias audits and candidate notice since 5 Jul 2023. California's FEHA regulations have required four-year recordkeeping since 1 Oct 2025. Illinois HB 3773 has applied since 1 Jan 2026, and Connecticut's CART Act framework took effect on 1 Oct 2026.

When does Colorado's new AI hiring law take effect?

Colorado's SB 26-189 takes effect on 1 Jan 2027. Signed on 14 May 2026, it repeals and replaces SB 24-205 with a narrower, notice-based approach: deployers must give notice before a covered system is used in a consequential decision, and a plain-language explanation within 30 days of an adverse outcome. California's No Robo Bosses Act follows on 1 Jul 2027.

Is an annual bias audit enough for an AI hiring tool?

An annual bias audit is a once-a-year snapshot, and scrutiny is rising. A December 2025 New York State Comptroller audit of 32 companies found at least 17 instances of potential Local Law 144 non-compliance, where the city had found one. Employers should keep continuous evidence that a hiring model still tests as its last audit said, plus disparate-impact testing and four-year records under California's rules.

What is an AI hiring audit and who performs it?

An AI hiring audit is a third-party assessment of the tools used to screen, rank, promote or terminate people, testing for disparate impact across protected characteristics and checking notice, recordkeeping and human review against each jurisdiction's rules. NYC Local Law 144 requires an annual third-party bias audit. AxiLayer AI performs these assessments, and a qualified AxiLayer AI auditor reviews and signs every finding.

How can AxiLayer AI help employers with AI hiring compliance?

AxiLayer AI evaluates employment AI continuously with AxiSentinel, against whichever jurisdiction's rule applies to each hire, from New York City and Illinois to California, Colorado, Connecticut and Ontario. Coverage runs from a single hiring model to a national talent-acquisition stack, between annual audits. A qualified AxiLayer AI auditor reviews and signs every finding. Request a briefing to discuss your hiring tools.

Last verified: 23 October 2026. See every mandate for this industry on the AI Audit Mandates Map.