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Be compliant for California’s FEHA AI rules

Overview

California’s FEHA rules on AI in employment

Regulations under California's Fair Employment and Housing Act (FEHA) have applied to automated-decision systems (ADS) since October 1, 2025. They confirm that FEHA's anti-discrimination protections, including disparate impact, apply when software screens, ranks, or scores people, and they place primary responsibility on the employer.

Automated Decision Systems or ADS in employment is technology that helps make or influence employment-related decisions, using algorithms or artificial intelligence (AI). These systems are increasingly used in areas such as:

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Screening job applications (e.g., resume parsers or automated filtering tools)

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Interview analysis (e.g., AI-powered video interview scoring)

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Hiring recommendations

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Promotion or performance evaluations

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Termination or workforce reduction tools

Compliance

The rules

These rules are among the most comprehensive state-level AI employment regulations in the US and set a precedent for how AI in employment is used.

Who the law applies to
An employer with five or more employees, at least one in California, that uses an ADS in hiring, promotion, or other employment decisions
A vendor and other third parties, only when they act as the employer's agent by screening, ranking, or deciding on the employer's behalf
A compliance or legal lead managing AI risk for either
Key requirements - FEHA’s ADS amendments outline specific requirements:
Notice
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Candidates and employees must be notified when an ADS tool is used to make employment decisions
Bias testing
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Is not mandated, but courts and regulators will treat the quality, scope, and recency of testing as central in deciding liability
Record keeping
All testing results and design documentation must be retained for at least 4 years
Safeguards
Employers and vendors must implement reasonable safeguards to prevent unlawful discrimination
Joint liability
Vendors who provide ADS tools may be held jointly liable with employers for discriminatory outcomes

Reducing risk

Both the buyers and builders of AI tech used in employment decisions are responsible for actively reducing the risk of discrimination. If you're using AI to help with hiring, promotions, or firing - you can’t just assume it’s fair. You have to take reasonable, proactive steps to make sure your system isn't treating people unfairly based on protected characteristics, this includes:

  • Regular bias testing across all protected groups (e.g., by race, gender, age)
  • Keeping clear records of how your AI works and how it's been tested
  • Giving people notice when AI is used to assess them
  • Giving humans the final say - especially in high-stakes decisions
  • Using independent audits (like Warden AI) to verify fairness

Protected Classes

Protected characteristics

FEHA prohibits discrimination across 18 protected classes in California employment law, including:

  1. Race
  2. Religious creed
  3. Colour
  4. National origin
  5. Ancestry
  6. Physical disability
  1. Mental disability
  2. Medical condition
  3. Genetic information
  4. Marital status
  5. Sex
  6. Gender
  1. Gender identity
  2. Gender expression
  3. Age
  4. Sexual orientation
  5. Reproductive health decision making
  6. Military and veteran status

Preparation

How Warden AI gets companies ready for The California FEHA Regulation

Warden AI provides independent auditing and certification of AI employment systems, helping both vendors and employers prepare for compliance:

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Compliance support

Warden’s platform provides bias audits, documentation trails, and automated reporting aligned with regulatory requirements.

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Testing across all applicable protected classes

Our audits are built on robust methodology covering up to 12 FEHA-protected characteristics.

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Audit trails

Maintain a time-stamped record of system behaviour - whether you're in pre-market testing or in production.

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Dashboards and reporting

Share testing results and risk information with stakeholders - and demonstrate safeguards in place.

Watch the recording

California’s New Rules on AI in Employment: What Employers and Vendors Need to Know

Together with Maneesha Mithal (Partner at Wilson Sonsini Goodrich & Rosatim, previously The FTC) we cover California’s New FEHA rules on AI in employment.

Watch now

Frequently Asked Questions

California FEHA AI Rules FAQs

Employers with five or more employees, at least one of them in California, that use automated-decision systems (ADS) in hiring, promotion, training selection, or other employment decisions. A vendor or other third party is covered only when it acts as the employer's agent by performing a function the employer traditionally handles, such as screening or ranking candidates. The rules have applied since October 1, 2025.

An ADS is any computational process that makes or assists an employment decision. In practice that includes resume screeners and automated filtering tools, AI-powered video interview scoring, hiring or ranking recommendations, and performance, promotion, or termination tools. If a system meaningfully influences who gets hired, advanced, or let go, FEHA likely treats it as an ADS.

No — FEHA does not mandate a bias audit. But the regulations make the quality, scope, and recency of bias testing central to liability: proactive anti-bias testing can be raised as a defense to a discrimination claim, while the absence of testing can be used as evidence against the employer. Independent bias audits from Warden AI give employers and vendors that defensible, documented record.

At least four years. That covers the data fed into the tool, the outputs it generated such as scores or rankings, the criteria applied to candidates, and the results of any bias testing or evaluation. The amendments also extended general personnel-record retention to four years, up from two.

Only in a narrow case. The final regulations treat a vendor as the employer's agent, and so potentially liable, when it performs a function the employer traditionally handles, such as screening, ranking, or hiring decisions. Earlier drafts would have extended aiding-and-abetting liability to anyone who builds or sells an ADS; the final text removed that. Primary liability rests with the employer.

FEHA prohibits employment discrimination across 18 protected classes, including race, color, national origin, ancestry, religion, sex, gender identity and expression, age, disability, medical condition, genetic information, marital status, sexual orientation, and military or veteran status. A meaningful bias evaluation should test outcomes across these groups.

The FEHA regulations don't add a standalone candidate-notice requirement. Telling people when AI is used is still good practice, and California's separate CCPA rules on automated decision making technology require pre-use notice for significant decisions from January 1, 2027. Employers must also provide reasonable accommodations on request.

Warden AI provides independent bias audits, time-stamped audit trails, and dashboards and reporting aligned to the regulations — documenting the proactive testing and safeguards FEHA expects. Whether you are a vendor testing pre-market or an employer monitoring a live system, Warden AI gives you evidence of fairness you can show regulators, courts, and procurement teams. The duty applies to employers; it does not extend to companies that only sell or provide an ADS.

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