AI Hiring Discrimination Laws in 2026: What to Know

Artificial intelligence is changing how employers recruit, screen, interview, and select job applicants. Automated hiring systems can review resumes, rank candidates, evaluate assessments, and help recruiters identify applicants who meet job requirements. Although these tools may improve efficiency, they can also introduce discrimination risks when automated decisions disadvantage people based on legally protected characteristics.

AI hiring discrimination laws have become increasingly important as employers rely on algorithms to make employment decisions. In 2026, federal antidiscrimination laws continue to apply to AI-assisted hiring, while states and cities have introduced additional rules governing automated employment decisions.

Understanding these requirements matters for employers developing hiring policies and applicants who believe an automated system unfairly affected their employment opportunities.

What Is AI Hiring Discrimination?

AI hiring discrimination occurs when an automated recruitment or employment decision system unlawfully disadvantages applicants or employees based on protected characteristics.

These systems may use machine learning, statistical modeling, data analytics, or other automated processes to evaluate candidates.

Common applications include:

• Automated resume screening and applicant ranking
• AI-assisted video interviews
• Online skills and personality assessments
• Candidate matching and recruitment recommendations
• Automated promotion screening
• Job advertisement targeting
• Algorithmic evaluation of work history or qualifications

Using artificial intelligence in hiring is not automatically unlawful. The legal concern arises when a system violates applicable employment laws, including by producing prohibited discriminatory effects or treating applicants differently because of protected characteristics.

How AI Hiring Systems Can Produce Bias

Automated hiring tools may learn patterns from historical employment information. If the underlying data reflects past inequalities, an algorithm may reproduce or amplify those patterns.

For example, a screening system trained on previous hiring decisions might favor applicants whose backgrounds resemble those of historically successful candidates. If earlier hiring practices excluded certain groups, the automated model could unintentionally continue those disadvantages.

Bias may also arise from poorly designed assessments, irrelevant screening criteria, inaccessible interfaces, or inaccurate assumptions about what makes someone qualified.

Resume Screening and Automated Rankings

AI resume screening software may assign scores based on education, experience, employment history, skills, or other information.

Problems can arise when a system uses factors that unnecessarily disadvantage protected groups or fail to measure qualifications relevant to the job.

For example, employment gaps may be associated with caregiving responsibilities, medical conditions, or other circumstances. Automatically penalizing every gap without considering its relevance could create legal concerns depending on the facts.

AI Video Interviews

Some hiring platforms evaluate recorded interviews or other applicant responses using automated assessments.

Systems that analyze speech, communication patterns, or other behavioral information may raise concerns about disability discrimination, accessibility, and the validity of the characteristics being measured.

Employers should not assume that an AI-generated interview score accurately reflects an applicant’s ability to perform essential job duties.

Federal Laws That Apply to AI Hiring

Existing federal employment discrimination laws can apply when employers use automated tools to make hiring decisions.

The use of artificial intelligence does not create a general exemption from legal responsibilities that would otherwise apply to human recruiters and hiring managers.

Title VII of the Civil Rights Act

Title VII prohibits covered employers from discriminating in employment based on race, color, religion, sex, or national origin.

It can apply to automated selection procedures that intentionally discriminate or produce unlawful disparate impacts.

Disparate impact concerns can arise when a facially neutral selection practice disproportionately excludes members of a protected group and cannot be justified under applicable legal standards.

Employers can review the Equal Employment Opportunity Commission’s guidance on employment tests and selection procedures for information about discrimination risks involving screening methods.

Americans With Disabilities Act

The Americans With Disabilities Act prohibits covered employers from discriminating against qualified individuals with disabilities.

Automated hiring tools may create disability-related concerns when applicants cannot access assessments, are evaluated using inappropriate criteria, or are denied reasonable accommodations.

The EEOC’s guidance on the ADA and artificial intelligence discusses how automated employment tools may unlawfully screen out people with disabilities.

Employers should consider whether an assessment accurately measures the skills needed for a position or instead measures characteristics affected by a disability.

Age Discrimination in Employment Act

The Age Discrimination in Employment Act protects covered workers and applicants who are at least 40 years old from age discrimination.

Automated screening systems that rely on employment history, graduation dates, or other age-related information may raise concerns if they unlawfully disadvantage older applicants.

Employers should examine whether selection criteria are relevant to the position and consistent with applicable legal requirements.

California AI Hiring Regulations in 2026

California has adopted regulations clarifying how existing employment discrimination protections apply to automated decision systems.

The California Civil Rights Council’s employment regulations regarding automated-decision systems took effect on October 1, 2025.

The California Civil Rights Department’s official announcement explains that the rules address potential discrimination involving artificial intelligence, algorithms, and other automated employment systems.

Protected Characteristics and Automated Decisions

California’s regulations clarify that using an automated decision system may violate state employment law when it unlawfully disadvantages applicants or employees based on protected characteristics.

Employers remain responsible for evaluating the legality of selection procedures, even when a technology vendor develops or operates the tool.

Relevant considerations may include the system’s purpose, the information it processes, its effect on different groups, and whether the employer can justify the selection criteria under applicable law.

Employment Records and Automated Data

California’s regulations also address employment recordkeeping involving automated decision systems.

The Civil Rights Department explains that covered employment records, including relevant automated-decision data, must generally be maintained for at least four years under the regulations, subject to applicable requirements.

Employers should review the specific recordkeeping provisions and determine which records must be preserved.

Disability-Related Assessments

California’s rules also clarify that certain automated assessments may create unlawful medical inquiry concerns when they elicit disability-related information.

For example, an online assessment that appears to measure personality or cognitive characteristics may require legal review if its questions or methods effectively seek information about a disability.

Businesses can review the California Civil Rights Council’s rulemaking materials for the adopted regulatory text and related documents.

New York City’s Automated Hiring Tool Law

New York City Local Law 144 regulates certain automated employment decision tools used to screen candidates for employment or employees for promotion.

The law requires covered employers and employment agencies to satisfy specified bias audit, publication, and notice requirements before using qualifying tools.

According to the New York City Department of Consumer and Worker Protection, a covered automated employment decision tool generally must have undergone a bias audit within one year before its use.

Independent Bias Audits

The law requires qualifying tools to undergo an independent bias audit. A summary of the most recent audit results must also be publicly available as required by the law.

The audit is intended to assess specified disparate impact measures associated with the tool.

However, completing an audit does not automatically establish compliance with every federal, state, or local employment discrimination requirement.

Notice to Applicants

New York City’s rules also require covered notices to affected candidates or employees.

Under the law, applicable notices generally must be provided at least 10 business days before using a qualifying tool and must address the tool’s use and relevant job qualifications or characteristics.

Additional requirements concern information about data collection, data sources, retention policies, and opportunities to request an alternative selection process or accommodation.

The city’s automated employment decision tool guidance explains the law’s basic requirements and available complaint procedures.

Can Job Applicants Challenge AI Hiring Decisions?

Applicants may have legal options when an automated hiring process violates applicable employment discrimination laws.

However, receiving a rejection after an AI-assisted assessment does not automatically establish unlawful discrimination.

A potential claim may require evidence showing that a protected characteristic was improperly considered or that a selection procedure had an unlawful discriminatory effect.

Applicants should also distinguish between a system that produces an unfavorable result and one that violates a legal requirement.

Evidence That May Be Relevant

Individuals concerned about automated hiring practices may want to preserve:

• Job advertisements and descriptions
• Application confirmations
• Notices about automated hiring tools
• Assessment instructions and results
• Accommodation requests
• Communications with recruiters
• Rejection notifications
• Relevant information about hiring criteria

These records may help an attorney evaluate whether a potential employment discrimination issue exists.

Reasonable Accommodations in Automated Hiring

Employers using AI-assisted assessments should consider how applicants with disabilities can request reasonable accommodations.

For example, an applicant may have difficulty completing a timed online assessment because of a disability. Another applicant may need an accessible format or an alternative method of demonstrating job-related qualifications.

Employers should evaluate accommodation requests under applicable disability laws rather than assuming that the automated system’s default procedure must be used in every case.

Failure to provide an appropriate accommodation may create legal concerns independent of whether the algorithm itself was intentionally discriminatory.

Employer Responsibility for Third-Party Hiring Software

Many employers purchase AI recruitment tools from outside vendors.

However, outsourcing technology does not necessarily eliminate the employer’s legal responsibility for its hiring practices.

Employers should understand what the software evaluates, how its results are used, whether the system has been tested, and what limitations the vendor identifies.

These concerns overlap with broader third-party technology risk management.

Law firms and other businesses can review How Advanced AI Risk Controls Are Becoming Mandatory in Law Firms for related guidance on technology oversight and accountability.

How Employers Can Reduce AI Hiring Discrimination Risks

Organizations considering automated hiring technology should evaluate the system before deployment and continue monitoring its performance after implementation.

Review the Tool’s Purpose

Employers should determine what qualifications the tool measures and whether those characteristics are relevant to the position.

Evaluate Disparate Impact

Where appropriate, employers should assess whether selection outcomes disproportionately disadvantage protected groups.

Provide Appropriate Accommodations

Applicants should have a practical way to request accommodations when automated assessments create disability-related barriers.

Train Recruiters and Hiring Managers

Employees should understand that automated scores are not necessarily objective or error-free.

Review Vendor Documentation

Employers should request relevant information about system testing, limitations, data handling, and available audit results.

Maintain Appropriate Records

Organizations should preserve records required by applicable employment laws and regulations.

Monitor Changes

Automated systems may change through software updates, new training data, or adjustments to evaluation criteria. Employers should consider whether significant changes require additional review.

Can Human Review Prevent AI Hiring Discrimination?

Human involvement can provide an important safeguard, but it does not automatically eliminate legal risk.

A recruiter may rely too heavily on an automated score, even when the score is inaccurate or based on inappropriate criteria.

Meaningful human review requires understanding the system’s limitations, considering relevant qualifications, and having authority to question or override an automated recommendation.

Employers should avoid treating human approval as a procedural formality when the real decision has already been made by software.

Privacy Risks in AI Recruitment

Automated hiring systems may collect resumes, employment histories, assessment responses, video recordings, and other personal information.

Depending on the technology, the system may also process sensitive or inferred information.

Employers should consider applicable privacy requirements, retention practices, access restrictions, and vendor security arrangements.

These issues connect with broader digital privacy concerns discussed in Cybersecurity and Privacy Law: Protecting Your Digital Rights in California.

What Job Seekers Should Know About AI Screening

Applicants may not always know whether an employer uses automated recruitment technology.

When notices are provided, job seekers should review the information about how the tool will be used and whether accommodations or alternative procedures are available.

Applicants can also consider asking whether a particular assessment is required and how to request assistance if they encounter accessibility barriers.

Job seekers should avoid assuming that every automated rejection is discriminatory. However, they should document concerns when there are specific reasons to believe an unlawful practice occurred.

When Should Someone Consult an Employment Lawyer?

Legal advice may be useful when an applicant believes an automated selection procedure unlawfully considered a protected characteristic, denied a reasonable accommodation, or violated applicable notice requirements.

Employers may also benefit from legal review before implementing new hiring systems, particularly when recruiting across multiple jurisdictions.

An employment attorney can evaluate applicable laws, available documentation, filing deadlines, and potential remedies.

Final Thoughts

Artificial intelligence can help employers process applications and organize hiring decisions, but it does not replace legal obligations under employment discrimination laws.

Federal protections continue to apply to automated selection procedures. California’s regulations clarify how employment discrimination laws apply to automated decision systems, while New York City imposes specific requirements on qualifying automated employment decision tools.

For employers, responsible AI adoption involves evaluating job-related criteria, reviewing potential discriminatory effects, providing appropriate accommodations, maintaining required records, and understanding vendor technology.

For applicants, knowing how automated hiring tools are regulated can help identify potential legal concerns and determine when additional information or professional advice may be appropriate.

As automated recruitment technology evolves, fair hiring practices will continue to depend on meaningful oversight, lawful selection criteria, and compliance with applicable employment laws.