AI Hiring Discrimination Lawsuits

California employers have been urged to carefully review their hiring, recruitment, and employee assessment tools. Effective October 1, 2025, California will implement new regulations governing how employers use automated-decision systems (ADS) in hiring, promotion, and other workplace decisions.

These changes, issued under amendments to the state’s Fair Employment and Housing Act (FEHA), place stricter requirements on employers that rely on artificial intelligence, algorithms, and other digital tools in employment practices. The regulations highlight the state’s growing concern about the potential for algorithmic discrimination and the risks of using technology without appropriate safeguards.

What Are Automated Decision Systems?

The rules define ADS broadly, covering nearly any technology that influences job opportunities or employment actions. These systems range from simple resume-screening tools to advanced AI platforms that evaluate applicant behavior. Examples include:

• Keyword filters that screen resumes before a human reviews them

• Online skills or personality tests that predict job performance

• Algorithms targeting job advertisements to specific demographics

• Video interview software that measures voice, tone, or expressions

• Data-driven platforms that analyze employee performance metrics

California’s regulators made it clear that when these systems skew results against protected groups, the employer is still responsible—even if the software is provided by a vendor.

The Risk of AI Bias in Hiring and Employment

Although marketed as objective, AI-driven hiring tools can magnify discrimination. For instance, reaction-time tests may disadvantage people with certain disabilities, while facial recognition systems often perform worse for individuals of color. Similarly, algorithms that direct ads may inadvertently exclude older workers or women from seeing job postings.

Because ADS can unintentionally embed prejudice, the amended FEHA rules hold employers accountable for identifying and preventing these outcomes.

Employer Responsibilities Under the New FEHA Amendments

The 2025 regulations impose several new obligations:

• Ban on discriminatory use: Employers cannot apply ADS in ways that exclude or disadvantage candidates or employees based on race, gender, disability, age, or other protected categories.

• Bias safeguards: To reduce liability, companies are encouraged to conduct bias audits, anti-discrimination testing, and to use validated methods aligned with federal EEOC guidelines.

• Recordkeeping requirements: Employers must now keep ADS-related records—including data, outcomes, and bias audit reports—for at least four years.

• Third-party liability: Employers remain responsible for unlawful outcomes even when using outside recruiters, software vendors, or testing platforms. Contracts with vendors should include indemnification provisions.

The Hidden Risks of AI Hiring Tools

Artificial intelligence in hiring is often marketed as objective, yet studies and lawsuits reveal the opposite. For instance:

• Amazon’s recruiting algorithm was abandoned after it penalized resumes containing terms linked to women, such as participation in “women’s” organizations.

• HireVue, a popular video-interview platform, came under scrutiny for allegedly analyzing candidates’ facial movements and tone, raising concerns about disability and racial bias.

• In 2023, the EEOC settled a case where an employer’s AI-powered hiring system automatically rejected older applicants, highlighting how ADS can unintentionally embed age discrimination.

These cases show why California regulators are emphasizing safeguards: ADS can reinforce systemic inequalities instead of eliminating them.

Why ADS Employment Law Matters

These changes highlight a growing recognition that workplace technology, while efficient, is not always neutral. When algorithms disadvantage applicants or employees, the harm can be widespread and difficult to detect. California’s amendments give employees stronger protections and force employers to take proactive measures before relying on digital decision-making tools.

Why Hire The Lyon Firm

The Lyon Firm has extensive experience representing individuals harmed by unlawful workplace practices, including those linked to AI discrimination and automated hiring systems. We investigate whether employers or third-party vendors violated employment laws, build cases for accountability, and pursue fair outcomes for workers.

For businesses, we also provide proactive guidance to navigate complex regulations and limit liability. If you are a job applicant excluded by an unfair system or a current employee learning about your rights and California’s evolving laws, our firm delivers informed legal support tailored to your needs.

FAQs on AI Employment Decisions

Can I sue Workday or HireVue for rejecting me? Potentially yes. Active lawsuits including Mobley v. Workday have survived motions to dismiss and are proceeding as class actions. If you were rejected by an employer using these platforms and believe the system discriminated based on a protected characteristic, you may have a claim against the employer, the AI vendor, or both.

Do I have to prove intentional discrimination to win an AI hiring case? No. Disparate impact claims allow plaintiffs to show that a neutral policy or tool produced discriminatory outcomes without proving intent. If an AI screening system disproportionately rejects candidates from a protected group and the employer cannot justify it as job-related, liability can follow.

What states have the strongest AI hiring protections? California, New York, and Colorado currently have the most comprehensive state-level protections against AI hiring discrimination. Federal law through Title VII, the ADEA, and the ADA applies in all states.

How long do I have to file an AI discrimination claim? EEOC charges for federal employment discrimination claims must generally be filed within 180 to 300 days of the discriminatory act. Contact an attorney as soon as possible to avoid missing the deadline.