TOPIC INTELLIGENCE

Automated Employment Decisions

Compare verified frameworks for automated hiring, evaluation, discipline and termination, with each record retaining its own legal status and scope.

Read how Colorado’s October 6 proposed rules allocate Deployer duties in a staffing-firm shortlist example. →

Coverage scope

  • Screening, hiring and assessment
  • Evaluation, discipline and termination
  • Notice and explanation requirements
  • Distinct statutory and regulatory definitions

CURRENT COVERAGE

22 records · 12 articles

Relevant jurisdictions: California, Colorado, Illinois, New York, Texas, Massachusetts, New Jersey, Vermont, Washington, Connecticut.

REGULATORY RECORDS

Effective — ADMT duties begin January 1, 2027regulation

CCPA Risk Assessment and Automated Decisionmaking Technology Regulations

Final CCPA regulations establish risk-assessment requirements for specified high-risk processing beginning in 2026 and notice, access, opt-out, and appeal provisions for covered ADMT used in significant decisions beginning January 1, 2027.

Related coverage: California Enacts New Workplace AI Rules: What SB 947 and AB 1883 Require →
Chaptered — operative July 1, 2027statute

California SB 947 — Employment: Automated Decision Systems

SB 947 limits employer reliance on automated decision systems in employee discipline and termination and adds human-corroboration, postuse-notice, and employee-data-description requirements when reliance is primary.

Related coverage: California SB 947: What Does Human Review Actually Require Before AI-Driven Discipline or Termination? →
Signed — operative January 1, 2027; rules proposedstatute

Colorado Automated Decision-Making Technology Act

Colorado repealed and reenacted its automated-decision framework. The replacement law applies to consequential decisions made on or after January 1, 2027, including covered employment decisions; the October 6, 2026 interim draft revises the August 11 proposed implementing rules and is not final.

Related coverage: If a staffing firm uses AI to screen applicants, who is responsible under Colorado’s proposed rules? →
Effectivestatute

Illinois Human Rights Act — Use of Artificial Intelligence in Employment

Illinois amended its Human Rights Act to address employer use of artificial intelligence across recruitment, hiring, promotion, discipline, discharge, and other employment terms.

Related coverage: AI Bias Audits: One-Time Compliance or Continuous Monitoring? →
Vetoedbill

California SB 7 — Employment: Automated Decision Systems

SB 7 proposed notice, access, correction, appeal, and human-oversight requirements for employer use of automated decision systems. The Governor vetoed the bill on October 13, 2025; it did not become law.

Related coverage: California AI Hiring Compliance in 2026: How FEHA and CCPA Automated Decision Rules Fit Together →
Effectivestatute

New York Public-Sector Automated Employment Decision-Making Framework

New York requires state agencies using covered automated employment decision-making tools to publish specified information. A 2026 chapter amendment added a disclosure provision for defined local public entities and extended related protections for public employees.

Related coverage: State AI Employment Laws: What’s Law, What’s Pending, and What’s Guidance →
In Senate Labor Committeebill

New York Boundaries on Technology Act

The BOT Act proposes impact assessments, notice, restrictions on electronic monitoring and automated employment decision tools, data-access rights, and meaningful human oversight. The official Senate record currently lists S 10147 as active in the Senate Labor Committee.

Related coverage: State AI Employment Laws: What’s Law, What’s Pending, and What’s Guidance →
Current agency advisoryagency guidance

Massachusetts Attorney General Advisory — Existing Laws and Artificial Intelligence

The Massachusetts Attorney General advises that existing state consumer-protection, anti-discrimination, and data-security laws apply to developers, suppliers, and users of artificial intelligence, including employment uses covered by state anti-discrimination law.

Related coverage: AI Bias Audits: One-Time Compliance or Continuous Monitoring? →
Current agency guidanceagency guidance

New Jersey Guidance on Algorithmic Discrimination

New Jersey's Division on Civil Rights explains that the Law Against Discrimination applies when automated decision systems or other algorithmic tools cause unlawful discrimination, including in employment advertising, screening, hiring, evaluation, promotion, discipline, and termination.

Related coverage: AI Bias Audits: One-Time Compliance or Continuous Monitoring? →
Referred to House committeebill

Vermont H.340 — Automated Decision Systems

H.340 proposes a broad framework for developers and deployers of automated decision systems used for consequential decisions, including employment decisions. The official status page lists the bill in the House Committee on Commerce and Economic Development and shows no enacted act.

Related coverage: State AI Employment Laws: What’s Law, What’s Pending, and What’s Guidance →
Retained in House Appropriationsbill

Washington HB 1672 — Technology Used by Employers in the Workplace

HB 1672 proposes restrictions and procedural protections for employer electronic monitoring and automated decision systems. After a substitute received a do-pass recommendation, the bill was referred to House Appropriations and retained in that status for the 2026 session.

Related coverage: State AI Employment Laws: What’s Law, What’s Pending, and What’s Guidance →
Effective October 1, 2026statute

Connecticut Public Act 26-15 — 2026 Employment Provisions

Public Act 26-15 amends Connecticut employment-discrimination law to address automated employment-related decision technology and adds an AI-related disclosure to Labor Department notices that an employer already submits under the federal WARN Act.

Related coverage: Connecticut’s AI Employment Law Is Now Partly in Effect: What Employers Need to Know →
Enacted — deployment duties apply October 1, 2027statute

Connecticut Public Act 26-15 — Automated Employment Decision Duties

Sections 7–12 of Public Act 26-15 establish definitions, developer-information duties, interaction disclosures, and pre-decision notices for defined automated employment-related decision technology. Although these sections have an October 1, 2026 effective clause, the operative developer and deployer duties apply to qualifying deployments on or after October 1, 2027.

Related coverage: Connecticut’s AI Employment Law Is Now Partly in Effect: What Employers Need to Know →
Current nonbinding guidanceagency guidance

Connecticut Attorney General Guidance on Existing Laws and Artificial Intelligence

The Connecticut Attorney General's February 2026 memorandum explains that existing civil-rights, privacy, consumer-protection, data-security, and antitrust laws may apply to AI, including AI used in hiring and employment.

Related coverage: Connecticut’s AI Employment Law Is Now Partly in Effect: What Employers Need to Know →
Did not become law in 2026bill

Connecticut SB 435 — Automated Decision Systems Protections for Employees

SB 435 proposed a broader employment automated-decision framework, including explanations, data correction, human review, bias audits, recordkeeping, collective-bargaining provisions, and a civil action. The official history ends with an April 20, 2026 favorable report and Senate calendar placement; the regular session adjourned May 6 without enactment.

Related coverage: Connecticut’s AI Employment Law Is Now Partly in Effect: What Employers Need to Know →
Effectivestatute

Texas Responsible Artificial Intelligence Governance Act

HB 149 establishes a broad statewide AI governance framework. Its employment relevance is limited but real: the chapter-wide intentional-discrimination prohibition is written to apply to a person developing or deploying AI, while consumer-specific disclosures do not cover individuals acting in an employment context.

LATEST COVERAGE

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AI Bias Audits: One-Time Compliance or Continuous Monitoring?

Current law does not impose one universal monitoring model. New York City uses a rolling one-year audit rule; other regimes rely on discrimination law, notices, records, documentation, or human review—and governance programs often go further.