Illinois AI Hiring Law (HB 3773): Complete 2026 Compliance Guide

Illinois House Bill 3773, officially titled "LIMIT PREDICTIVE ANALYTICS USE" and enacted as Public Act 103-0804, makes Illinois the second state in the nation (after Colorado) to comprehensively regulate artificial intelligence in employment decisions. Signed into law by Governor J.B. Pritzker on August 9, 2024, this legislation amends the Illinois Human Rights Act (IHRA) to prohibit discriminatory AI use and mandate employer notice requirements.

If you hire, promote, or make employment decisions in Illinois, this guide covers everything you need to ensure compliance before the January 1, 2026 effective date.

Legislative History and Context

HB 3773 was introduced during the 103rd Illinois General Assembly (2023-2024 session) as a partisan Democratic bill sponsored by 11 legislators with unanimous support (11-0). The bill progressed 100% through the Illinois legislature, moving through committee review, floor votes, and final passage before being signed by Governor Pritzker.

The final version of the bill underwent significant revisions during the legislative process, including:

• Reinserting previously engrossed provisions to strengthen protections
• Adding explicit definitions for "artificial intelligence" and "generative artificial intelligence"
• Removing unrelated Consumer Fraud Act amendments to maintain focus on employment
• Expanding the scope to cover the broadest range of employment decisions of any state AI law

Illinois follows Colorado's pioneering SB 205 (passed May 2024) but takes a different enforcement approach—emphasizing notice requirements and existing anti-discrimination frameworks rather than mandatory bias audits like NYC Local Law 144.

Key Dates and Timeline

• August 9, 2024: Governor Pritzker signs HB 3773 into law as Public Act 103-0804
• December 2025: Illinois Department of Human Rights (IDHR) releases draft regulations (Subpart J)
• January 1, 2026: Law becomes effective—all covered employers must comply
• 2026 ongoing: IDHR finalizes rulemaking for notice requirements and enforcement procedures

Who Is Covered?

HB 3773 applies to all employers who use artificial intelligence in employment decisions affecting individuals in Illinois. Unlike some state laws with employee thresholds, Illinois has no size exemption—if you use AI in employment and have employees or applicants in Illinois, you're covered.

The law applies to both:

• Direct employers making hiring, promotion, and termination decisions
• Third-party vendors and staffing agencies providing AI-powered recruitment services
• Out-of-state employers hiring Illinois residents or making employment decisions affecting Illinois workers

What Does the Law Require?

1. Prohibition on Discriminatory AI Use

The core prohibition makes it a civil rights violation under the IHRA for employers to use artificial intelligence in a manner that discriminates against employees or applicants on the basis of any protected characteristic, including:

• Race, color, national origin, ancestry
• Religion, creed
• Sex (including pregnancy), sexual orientation, gender identity
• Age (40 and over)
• Disability (physical or mental)
• Military or veteran status
• Marital status
• Arrest record (in some circumstances)
• Citizenship status (under Illinois law protections)
• Any other characteristic protected under the Illinois Human Rights Act

This prohibition applies throughout the entire employment lifecycle, including:

• Recruitment and job advertising (including targeted digital ads)
• Resume screening and initial candidate evaluation
• Interviewing (video analysis, chatbots, pre-screening)
• Hiring and selection decisions
• Promotion and advancement opportunities
• Selection for training programs or apprenticeships
• Renewal of employment or contract extension
• Discipline, demotion, or corrective action
• Discharge or termination
• Terms, conditions, and privileges of employment (compensation, benefits, work assignments)
• Tenure decisions

2. Zip Code Proxy Prohibition

In a provision unique to Illinois, HB 3773 specifically prohibits employers from using zip codes as a proxy for protected characteristics. This addresses concerns about algorithmic redlining, where seemingly neutral geographic data can perpetuate discrimination based on race, socioeconomic status, or other protected attributes.

Employers must ensure their AI systems do not:

• Use applicant zip codes to infer race, ethnicity, or national origin
• Screen out candidates based on residential address patterns
• Target recruitment ads based on geographic proxies for protected classes
• Weight location data in ways that disadvantage protected groups

3. Mandatory Notice to Applicants and Employees

Employers must provide advance notice to applicants and employees when using AI to make or assist in making covered employment decisions. This requirement applies regardless of whether the AI use is discriminatory—notice is mandatory whenever AI influences employment decisions.

The Illinois Department of Human Rights is currently developing detailed regulations under draft Subpart J that will specify:

• Exact timing for notice (likely before or at the time AI is first used)
• Required content and level of detail in notices
• Format and delivery method (electronic, written, or both)
• Accessibility requirements for applicants with disabilities
• Language translation obligations
• Recordkeeping and documentation standards

Based on draft regulations discussed in recent IDHR stakeholder meetings, employers should prepare to disclose:

• That AI is being used in the decision-making process
• The specific employment decisions AI will influence
• What data inputs the AI system analyzes
• How the AI's output or recommendations are used by human decision-makers
• The applicant's right to request additional information about AI use
• How to contact the employer with questions or concerns

What Counts as "AI" Under HB 3773?

HB 3773 includes explicit statutory definitions for both "artificial intelligence" and "generative artificial intelligence," making it one of the most comprehensive definitional frameworks in state employment law. The law defines AI broadly to include any machine-based system that can make predictions, recommendations, or decisions influencing real or virtual environments.

Covered AI Technologies

The following technologies commonly used in employment are likely covered:

Resume and Application Screening

• ATS Ranking Algorithms: Systems that score, rank, or filter resumes based on keywords, experience, or qualifications
• Semantic Matching: AI that analyzes resume content to match candidates to job descriptions
• Knockout Screening: Automated systems that disqualify candidates based on predefined criteria
• Duplicate Detection: AI that identifies and removes repeat applicants

Video Interview Analysis

• Facial Expression Analysis: Systems that evaluate micro-expressions or emotional states
• Speech Pattern Analysis: AI assessing tone, pitch, pace, word choice, or language complexity
• Body Language Evaluation: Tools analyzing posture, eye contact, or gestures
• Automated Transcription and Scoring: AI-powered interview transcription with sentiment analysis

Skills and Cognitive Assessments

• Gamified Assessments: AI-scored games evaluating cognitive ability, personality, or cultural fit
• Psychometric Testing: Automated personality or behavioral assessments
• Technical Skills Tests: AI-graded coding challenges or technical evaluations
• Situational Judgment Tests: AI analysis of scenario-based responses

Chatbots and Conversational AI

• Screening Chatbots: Automated pre-interview questionnaires
• Scheduling Assistants: AI that manages interview logistics (may have limited impact)
• FAQ Bots: Automated responders for candidate questions (lower risk)

Applicant Tracking Systems (ATS)

• AI-Powered Matching: Systems suggesting "best fit" candidates
• Predictive Analytics: Tools forecasting candidate success or tenure
• Automated Workflow Routing: AI determining which candidates advance to human review

Advertising and Recruitment Targeting

• Programmatic Job Ads: AI-targeted recruitment advertising on social media or job boards
• Candidate Sourcing: AI that identifies passive candidates from databases
• Talent Rediscovery: Systems re-evaluating past applicants

Background and Reference Checks

• Social Media Screening: AI analyzing public social profiles
• Predictive Background Analysis: Tools scoring risk based on background data
• Automated Reference Checking: AI-powered reference questionnaires

Internal Promotion and Performance

• Succession Planning Tools: AI recommending promotion candidates
• Performance Prediction: Systems forecasting employee performance or flight risk
• Training Recommendations: AI suggesting professional development paths

Enforcement and Penalties

Illinois Department of Human Rights (IDHR)

The IDHR is the primary enforcement agency for HB 3773 violations. Because the law amends the Illinois Human Rights Act, violations are treated as civil rights violations under existing IHRA enforcement procedures.

The IDHR has authority to:

• Investigate complaints of discriminatory AI use or notice failures
• Conduct compliance audits and reviews of employer AI practices
• Issue subpoenas for documents, data, and testimony
• Hold administrative hearings
• Order remedies including back pay, reinstatement, compensatory damages, and policy changes
• Refer cases to the Illinois Attorney General for prosecution
• Develop regulations and guidance on AI compliance (ongoing rulemaking)

Private Right of Action

Because HB 3773 integrates into the IHRA framework, affected individuals have a private right of action to sue employers directly. This follows standard IHRA procedures:

1. Charge Filing: Individual files a discrimination charge with IDHR
2. IDHR Investigation: Department investigates and may attempt conciliation
3. Right-to-Sue Notice: After 365 days (or earlier dismissal), individual receives right-to-sue letter
4. Civil Lawsuit: Individual can file in Illinois state court within 90 days of right-to-sue notice
5. Remedies: Court can award damages, injunctive relief, attorney's fees, and costs

Available Remedies and Damages

Successful plaintiffs can recover:

• Compensatory Damages: Lost wages, benefits, emotional distress, mental anguish
• Punitive Damages: Available for willful or reckless violations
• Injunctive Relief: Court orders to change AI practices, provide training, or implement monitoring
• Reinstatement: For wrongful termination cases
• Front Pay: Future lost earnings if reinstatement isn't feasible
• Attorney's Fees and Costs: Prevailing plaintiffs can recover legal expenses

Unlike NYC Local Law 144 (which imposes fixed civil penalties of $500-$1,500 per violation), Illinois does not establish standalone fines. Instead, employers face the full range of civil rights litigation damages, which can be substantially higher depending on the severity and scope of violations.

Illinois vs. Other State AI Laws: Key Differences

Illinois HB 3773 vs. NYC Local Law 144

Illinois HB 3773 vs. Colorado SB 205

Colorado's SB 205 (effective February 1, 2026) and Illinois HB 3773 share similar timelines but differ in approach:

• Colorado requires impact assessments, risk management frameworks, and detailed documentation
• Illinois focuses on notice and enforces through existing discrimination law without separate impact assessment requirements
• Colorado has a tiered enforcement structure with AG enforcement and private action after 2029
• Illinois provides immediate private right of action through IHRA procedures

How to Comply: Step-by-Step Implementation

Step 1: Conduct a Comprehensive AI Audit (By December 2025)

Map every tool, platform, and process in your employment lifecycle to identify AI use:

What to Document:

• Tool name and vendor
• AI features enabled: Many platforms have optional AI features—know which are active
• Employment decisions affected: Hiring, promotion, termination, etc.
• Data inputs: What information does the AI analyze?
• Output type: Scores, rankings, recommendations, or direct decisions?
• Human oversight: How do human reviewers use AI output?
• Vendor compliance support: Does the vendor provide bias testing, audit reports, or compliance tools?

Common Audit Findings:

Most employers discover AI in unexpected places:

• ATS keyword matching they assumed was simple text search
• LinkedIn Recruiter's AI-powered candidate suggestions
• Email marketing tools targeting job ads by demographics
• Performance management platforms with predictive analytics
• Third-party background check services using risk scoring

Step 2: Develop Compliant Notice Language (By December 2025)

Draft clear, accessible notices for each AI tool or process. While IDHR finalizes specific requirements, best practice is to create notices that:

Notice Content Checklist:

• ✓ Identify that AI is used
• ✓ Explain which employment decisions are affected
• ✓ Describe what data the AI analyzes
• ✓ Clarify how AI output influences final decisions
• ✓ Provide contact information for questions
• ✓ Inform applicants of their right to request more information
• ✓ Use plain language (avoid technical jargon)
• ✓ Make notices accessible (screen reader compatible, available in alternate formats)

Sample Notice Language:

Step 3: Implement Notice Delivery Systems (By December 2025)

Integrate notice delivery into your recruitment workflow:

Timing Options (Pending IDHR Regulations):

• Job Posting: Include AI notice in job description
• Application Submission: Display notice on application form or confirmation page
• Pre-Assessment: Show notice before candidate begins AI-evaluated assessment
• Interview Scheduling: Include in interview confirmation email for AI-powered interviews

Format and Accessibility:

• Provide notices in electronic and written formats
• Ensure screen reader compatibility (proper HTML structure, alt text)
• Offer translation for non-English speakers (consider Spanish at minimum for Illinois demographics)
• Make notices downloadable or printable
• Use at least 12-point font in written notices

Step 4: Establish Bias Testing and Monitoring (Ongoing)

While Illinois doesn't mandate bias audits like NYC, the anti-discrimination prohibition means you must proactively monitor AI for disparate impact:

Vendor Accountability:

• Request bias audit reports from AI vendors
• Ask vendors about their fairness testing methodology
• Review adverse impact analyses (if available)
• Confirm vendors test across protected classes under Illinois law
• Include compliance obligations in vendor contracts

Internal Monitoring:

• Track selection rates by demographic group (if EEO-1 data is available)
• Analyze AI outputs for patterns that correlate with protected characteristics
• Review edge cases where AI and human decisions diverge
• Conduct periodic statistical analyses (e.g., four-fifths rule testing)
• Document monitoring procedures and findings

Third-Party Audits:

For high-stakes AI (e.g., tools that automatically reject candidates), consider independent audits by:

• AI ethics consultants
• Employment law specialists with technical expertise
• Bias audit firms (same vendors serving NYC Law 144 compliance)
• Academic researchers with algorithmic fairness expertise

Step 5: Train HR and Hiring Teams (By December 2025)

Ensure everyone involved in hiring understands HB 3773 requirements:

Training Topics:

• Law basics: What HB 3773 prohibits and requires
• Tool identification: Which platforms trigger compliance obligations
• Notice delivery: When and how to provide AI disclosures
• Bias recognition: How to spot potentially discriminatory AI outcomes
• Documentation: What records to keep for compliance
• Escalation: When to involve legal or compliance teams
• Candidate inquiries: How to respond to questions about AI use

Roles to Train:

• HR generalists and recruiters
• Hiring managers
• Talent acquisition specialists
• Interview panelists (if using AI interview tools)
• IT/HR systems administrators
• Third-party recruiters or staffing partners

Step 6: Update Policies and Contracts (By December 2025)

Internal Policies to Revise:

• Recruitment and hiring policy: Add AI use disclosures and fairness commitments
• Anti-discrimination policy: Explicitly address AI-driven discrimination
• Data privacy policy: Explain what candidate data AI systems process
• Recordkeeping policy: Specify retention periods for AI-related documents

Vendor Contracts to Update:

• Require vendors to provide bias testing documentation
• Include indemnification for vendor-related compliance failures
• Mandate vendor cooperation with IDHR investigations
• Specify data handling and privacy obligations
• Require prompt notice of AI algorithm changes that could affect fairness

Step 7: Establish Recordkeeping Systems (Effective January 1, 2026)

Maintain comprehensive documentation to demonstrate compliance:

Records to Keep:

• AI tool inventory: List of all AI systems, features, and vendors
• Notice logs: Proof of when and how notices were delivered to each applicant/employee
• Bias testing reports: Vendor audits, internal analyses, third-party reviews
• Training records: Who was trained, when, and on what topics
• Policy documents: Current and historical versions of AI-related policies
• Vendor contracts: Agreements with AI providers
• Candidate inquiries: Questions from applicants about AI use and your responses
• Adverse action notices: When AI-assisted decisions lead to rejection or termination
• System changes log: Updates to AI algorithms, features, or configurations

Retention Periods:

While HB 3773 doesn't specify retention, best practice is:

• Minimum 3 years: Align with EEOC recordkeeping requirements
• Longer if litigation risk: Preserve records if complaints are filed
• Follow company policy: Apply existing HR document retention standards

Special Considerations for Multi-State Employers

If you operate in multiple states, you face a patchwork of AI employment laws:

Comparative State Requirements:

• Illinois (HB 3773): Notice + anti-discrimination
• Colorado (SB 205): Impact assessments + risk management
• New York City (Local Law 144): Bias audits + notice + alternative evaluation
• California (AB 2930, pending): Notice + automated decision restrictions
• Maryland (HB 1202, effective 2026): Facial recognition bans in interviews
• New Jersey (pending bills): Notice and audit requirements under consideration

Compliance Strategy for Multi-State Operations:

• Option 1: Patchwork Approach — Comply with each state's specific requirements for applicants in that state (complex but tailored)
• Option 2: Highest Common Denominator — Apply the strictest state's requirements nationwide (simpler but potentially over-compliance)
• Option 3: Hybrid — Implement universal baseline (e.g., notice everywhere) + state-specific extras (e.g., NYC audits)

Preparing for IDHR Regulations

The Illinois Department of Human Rights is currently drafting Subpart J regulations that will provide detailed guidance on notice requirements. Based on stakeholder meetings, expect regulations to address:

Anticipated Regulatory Topics:

• Notice triggers: Exactly when notices must be provided (e.g., before data collection, before AI evaluation)
• Content requirements: Minimum information disclosures and level of technical detail
• Delivery methods: Acceptable formats (email, portal, paper) and proof of receipt
• Accessibility standards: Requirements for applicants with disabilities or limited English proficiency
• Exceptions: Whether any AI uses are exempt (e.g., purely administrative tasks)
• Update obligations: When employers must provide revised notices after AI changes
• Safe harbor provisions: Potential compliance safe harbors for good-faith efforts

How to Stay Informed:

• Monitor the IDHR website for proposed regulations
• Participate in public comment periods when draft rules are released
• Join Illinois HR associations (SHRM Chicago, Illinois Chamber) for regulatory updates
• Subscribe to employment law newsletters covering Illinois
• Consult with Illinois employment counsel as regulations develop

Frequently Asked Questions

Does HB 3773 apply to small businesses?

Yes. Unlike some employment laws with employee thresholds, HB 3773 has no size exemption. Any employer using AI in employment decisions affecting Illinois workers must comply, whether you have 5 employees or 5,000.

What if my AI vendor handles compliance?

Vendor support is valuable, but employers remain ultimately responsible for compliance. Even if your vendor provides bias audits, notice templates, or compliance tools, you must ensure notices are properly delivered and AI use doesn't discriminate. Include compliance obligations and indemnification provisions in vendor contracts, but don't assume vendors absolve you of liability.

Can I still use AI in hiring after January 1, 2026?

Absolutely. HB 3773 regulates AI use; it doesn't prohibit it. With proper notices, bias monitoring, and non-discriminatory practices, you can continue benefiting from AI-powered recruitment tools. The law aims to ensure transparency and fairness, not to eliminate AI from hiring.

Do I need to conduct bias audits like NYC employers?

No, Illinois doesn't mandate annual bias audits. However, the anti-discrimination prohibition means you must proactively monitor for bias. Many employers voluntarily conduct audits or request them from vendors as a best practice to mitigate discrimination risk and demonstrate good faith compliance.

What happens if I don't provide notice?

Failure to provide required notice is a civil rights violation under the IHRA, even if the AI use isn't discriminatory. Affected individuals can file complaints with IDHR and ultimately pursue private civil actions for damages, including compensatory damages, punitive damages (if willful), and attorney's fees.

Does this law apply to employee monitoring or only hiring?

HB 3773 covers all employment decisions, not just hiring. This includes:

• Promotion and advancement
• Performance evaluation
• Discipline and termination
• Training selection
• Compensation and benefits
• Work assignments and conditions

If you use AI to monitor employee performance, predict turnover, or recommend disciplinary action, you likely need to provide notice to current employees.

How does the zip code prohibition work in practice?

The law prohibits using zip codes as a proxy for protected characteristics. This means:

• Allowed: Using zip code for legitimate purposes like commute time analysis or regional pay adjustments
• Prohibited: Screening out applicants because their zip code correlates with race or socioeconomic status
• Risk area: Targeted job advertising that excludes certain geographic areas in ways that disadvantage protected groups

If your AI uses location data, document legitimate business justifications and test for disparate impact across protected classes.

What about third-party recruiters and staffing agencies?

If you're a staffing agency or third-party recruiter using AI to screen candidates for client companies, you're likely covered as an employer under the law. You must provide notices to candidates and ensure your AI doesn't discriminate. Additionally, client companies should confirm their staffing partners are HB 3773 compliant and include compliance obligations in contracts.

Can applicants opt out of AI evaluation?

HB 3773 doesn't explicitly require an opt-out or alternative evaluation process (unlike NYC Local Law 144). However, providing an alternative may reduce legal risk and improve candidate experience. Consider offering:

• Traditional non-AI interviews for candidates who prefer them
• Human-only resume review upon request
• Opportunity to supplement AI assessments with additional materials

Monitor IDHR guidance—regulations may clarify whether alternatives are required.

How should I respond if an applicant asks about AI use?

Be transparent and helpful:

• Confirm which AI tools were used in their evaluation
• Explain what data was analyzed and how
• Clarify how AI output influenced the decision (without disclosing proprietary algorithms)
• Provide contact information for further questions
• Document the inquiry and your response

Treating applicant questions seriously demonstrates good faith and may prevent complaints.

What if I discover my AI has been discriminating?

Take immediate corrective action:

1. Stop using the tool until bias is addressed
2. Notify legal counsel to assess liability
3. Review past decisions to identify affected individuals
4. Work with vendor to fix algorithmic issues or switch providers
5. Consider remediation for impacted applicants/employees (e.g., reconsidering rejections)
6. Document corrective steps to demonstrate good faith
7. Update monitoring to catch future issues earlier

Prompt self-correction may mitigate damages if complaints or investigations arise.

Do AI resume screening tools violate the law?

Not inherently. Resume screening AI is legal if it:

• Doesn't discriminate based on protected characteristics
• Is disclosed to applicants via compliant notice
• Is monitored for bias and adverse impact

Many employers successfully use AI resume screening in compliance with HB 3773 by implementing proper safeguards, transparency, and ongoing evaluation.

When should I consult an attorney?

Seek legal counsel if:

• You're implementing high-risk AI (e.g., tools that auto-reject candidates)
• You receive a discrimination complaint related to AI use
• IDHR initiates an investigation
• You're unsure whether specific tools are covered
• You operate in multiple states and need coordinated compliance strategy
• Your AI vendor cannot provide adequate bias testing documentation
• You discover potential discriminatory outcomes in your AI systems

Practical Compliance Checklist

Related Resources

• What Counts as AI in Hiring? Definitive Guide
• AI Disclosure Notice Template (Free Download)
• 2026 AI Hiring Compliance Checklist
• NYC Local Law 144 Comparison
• Colorado AI Act for Employers
• AI Bias Audit Guide
• AI Vendor Assessment Guide
• Free Compliance Scorecard (Check Your Risk)

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