# AI in employment compliance
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Assess and remediate compliance with laws governing AI and automated decision-making in employment and hiring contexts.

Assess and remediate compliance with laws governing AI and automated decision-making in employment and hiring contexts. Use when deploying, auditing, or advising on AI systems used for candidate screening, interviewing, hiring, promotion, compensation, workforce monitoring, or employee evaluation. Covers NYC Local Law 144 (automated employment decision tool (AEDT) bias audit by independent auditor, impact ratio calculation against EEO-1 categories, annual audit frequency, pre-use candidate and employee notice at least 10 business days before use, opt-out accommodation obligation, DCWP civil penalties up to $1,500 per day per violation); Colorado AI Act SB 24-205 (effective February 1, 2026 — high-risk AI consequential decision deployer obligations, impact assessment before deployment and annually thereafter, consumer interaction notice, appeal and human review rights on adverse consequential decisions, annual AG disclosure, $20,000 per affected consumer penalty, reasonable-care developer-reliance safe harbour); Illinois Artificial Intelligence Video Interview Act 225 ILCS 47 / 820 ILCS 42 (informed consent before video capture, AI function explanation before interview, data destruction within 30 days of request or 3 months after final hiring decision, third-party sharing prohibition, annual race-and-ethnicity demographic reporting to DCEO); Illinois HB 3773 effective January 1, 2026 (employer notice whenever AI influences any covered employment decision — hiring, promotion, discipline, termination — annual notice plus 30-day notice of new or substantially updated AI systems, IDHR enforcement under IHRA); California Civil Rights Council FEHA AI Regulations effective October 1, 2025 (anti-bias testing plan for all automated decision systems (ADS) used in employment decisions, mandatory documentation of testing process criteria and results, post-use notice obligations, 4-year record retention, applies to all FEHA-covered employers with 5+ California employees); California CPRA Automated Decisionmaking Technology Regulations 11 CCR 7200-7222 effective January 1, 2026 (pre-use notice content requirements for employment ADMT, opt-out from significant employment decisions, access rights, human review alternative, risk assessment under 11 CCR 7150-7157 with CPPA submission by April 1, 2028); Maryland § 3-717 employer facial recognition written consent waiver requirement before employment interviews (effective October 1, 2020); EU AI Act Regulation 2024/1689 Article 26 deployer obligations for Annex III Category 4 employment AI systems, Article 50 transparency to workers and applicants, prohibited practices under Article 5 including emotion recognition in employment contexts and prohibited biometric categorisation. Integrates EEOC May 2023 technical assistance on algorithmic hiring, Title VII disparate impact four-fifths rule applied to algorithmic selection rates, adverse impact documentation requirements, less-discriminatory-alternative analysis, ADA disability-screening risk in AI tools, ADEA age discrimination in algorithmic ranking, OFCCP obligations for federal contractors, and FCRA pre-adverse-action notice when AI tools process consumer report data. Produces multi-jurisdiction compliance matrix, employment-AI bias audit framework with fairness metric specifications, pre-use notice and disclosure templates for each applicable jurisdiction, opt-out and appeal procedure specifications, remediation roadmap prioritised by severity and regulatory deadline, and Glass Box audit trail suitable for legal counsel review, regulatory response, and board-level AI governance reporting.

This skill assesses an organisation's compliance obligations when deploying, procuring, or advising on AI systems that make or substantially assist employment decisions. It maps the applicable legal framework by jurisdiction, identifies specific obligations for each law, classifies compliance status, and produces actionable remediation guidance. **Covers:** - Jurisdictional applicability screening across all major AI-in-employment laws (US and EU) - NYC Local Law 144 AEDT bias audit requirements (independent auditor, impact ratio, notice, publication) - Colorado AI Act SB 24-205 deployer obligations for consequential AI employment decisions - Illinois Artificial Intelligence Video Interview Act consent, destruction, and reporting requirements - California CPRA Automated Decisionmaking Technology Regulations employment-context obligations - Maryland employer facial recognition consent requirements - EU AI Act Annex III Category 4 high-risk employment AI deployer obligations - EEOC guidance on algorithmic hiring: Title VII disparate impact, four-fifths rule, adverse impact documentation - Federal overlays: ADA, ADEA, FCRA, and OFCCP obligations triggered by AI employment tools - Bias audit framework design: fairness metric specification, data requirements, audit frequency - Pre-use notice and disclosure templates for each applicable jurisdiction - Opt-out and appeal procedure design specifications - Remediation roadmap prioritised by severity and regulatory deadline **Does not:** - Conduct the technical bias ...

## Jurisdictions

Global



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