What Video Interview AI Actually Does

Category: Compliance Deep Dive
Read Time: 12 min read
Published: February 23, 2026

Author Byline: Published on February 23, 2026

Video interview platforms—such as HireVue, Modern Hire (formerly Montage), Spark Hire, myInterview, and others—have become standard tools for remote hiring. What started as a convenience for recording candidates answering questions on their own time has evolved into something far more complex: AI-powered analysis that evaluates speech patterns, word choice, facial expressions, eye contact, and even micro-expressions to predict job performance.

This evolution has made video interview AI one of the most heavily regulated—and legally risky—categories of hiring technology. States like Illinois, New York City, California, Colorado, and Maryland impose specific requirements for video interview AI compliance. The EEOC has investigated multiple complaints, and several high-profile lawsuits have targeted video interview discrimination claims.

If you use video interview AI, understanding the compliance landscape is essential. For official details on state laws, refer to resources like the Illinois Department of Labor for AIVIA and the New York City Council for Local Law 144.

🚨 Critical Distinction
Using a video platform to record interviews that humans review involves minimal regulation.
Using AI to analyze those videos (speech, language, facial expressions) triggers heavy regulation in multiple jurisdictions. Confirm which features you're using.

What Video Interview AI Actually Does

Modern video interview platforms offer a range of AI capabilities. Not every platform enables all features, but understanding the market-standard options is key for video interview AI compliance and best practices in 2026:

Speech and Language Analysis

• Transcription and keyword detection: AI converts speech to text and identifies relevant keywords tied to job requirements.
• Sentiment analysis: Gauges emotional tone, such as positive, negative, or neutral responses.
• Complexity scoring: Evaluates vocabulary level and sentence structure to assess communication skills.
• Filler word counting: Monitors hesitations like "um," "uh," or "like" to score fluency.
• Speaking pace: Tracks words per minute and speed variations for rhythm and clarity.

Vocal Characteristics

• Tone analysis: Examines pitch, volume, and modulation to infer confidence or engagement.
• Confidence scoring: Derived from voice stability and assertiveness levels.
• Enthusiasm detection: Measures energy through vocal variation and dynamism.

Visual Analysis (Most Controversial)

• Eye contact tracking: Quantifies time looking at the camera to evaluate attentiveness.
• Facial expression analysis: Identifies smiles, frowns, or other expressions for emotional insight.
• Micro-expression detection: Spots rapid, involuntary facial cues (often criticized for subjectivity).
• Body language assessment: Analyzes posture, gestures, and overall movement.

Comparative Ranking

• Candidate scoring: Generates numerical scores from AI outputs.
• Comparative ranking: Ranks candidates from most to least promising.
• Benchmarking: Compares applicants against profiles of high-performing employees.

These features amplify concerns under AI hiring laws in 2026, especially regarding bias and discrimination in video interview AI systems. For deeper insights, explore our AI Hiring Bias Guide.

The Regulatory Patchwork

Video interview AI falls under overlapping federal and state frameworks. Below is a breakdown of key regulations, with links to official .gov resources for verification and up-to-date compliance.

Illinois: The Strictest Standard (AIVIA)

Illinois' Artificial Intelligence Video Interview Act (AIVIA), effective since 2020, pioneered targeted regulation for video interview AI. Access the full text via the Illinois General Assembly.

Requirements:

1. Advance notice: Inform candidates before analysis that AI will be used and describe its function.
2. Explicit consent: Obtain written consent (e.g., checkbox or signature) prior to AI processing.
3. Explanation of evaluation criteria: Detail what the AI assesses and its role in decisions.
4. Limited sharing: Restrict video and AI data to hiring decision-makers only.
5. Data deletion upon request: Delete recordings and AI-derived data within 30 days of a candidate's request.

Penalties: $500 for the first violation, $1,000 per subsequent violation per candidate.

Critical note: AIVIA applies to all Illinois residents, regardless of your company's location. This extraterritorial reach makes Illinois video interview AI compliance crucial for multi-state employers. See our Illinois AIVIA Compliance Guide for templates.

New York City: Bias Audit Requirement (LL144)

Under Local Law 144, video interview AI qualifies as an "Automated Employment Decision Tool" (AEDT) for NYC candidates. Visit the NYC Department of Consumer and Worker Protection for enforcement details.

Requirements:

• Annual bias audit: Independent third-party review of selection rates by race/ethnicity and sex.
• Public disclosure: Post audit results on a publicly accessible website.
• Candidate notice: Provide at least 10 business days' advance warning of AEDT use.
• Alternative process: Offer non-AI evaluation options upon request.

For NYC-specific SEO, incorporate terms like "NYC AI hiring law compliance" in your job postings and disclosures.

Maryland: Facial Recognition Consent

Maryland's 2020 law, expanded in 2026, mandates written consent for AI analyzing facial characteristics, expressions, or visual data. Check updates at the Maryland Attorney General's Office.

Key points:

• Consent must explicitly cover facial/visual analysis.
• Revocation is allowed anytime, with deletion within 30 days.
• Applies to any visual AI features in video interviews.

This emphasizes granular consent in video interview AI best practices, particularly for controversial visual tools.

California: Disclosure and Bias Testing (AB 2930)

California's AB 2930 requires disclosures and bias testing for video interview AI on state residents. Review the bill at the California Legislative Information.

Requirements:

• Pre-use written disclosure during application or interview.
• Annual bias audits for disparate impact.
• Data minimization: Collect only essential data.
• Right to human review of AI decisions.

Integrate these into your AI compliance strategy to address California's emphasis on equity.

Colorado: Impact Assessment and Opt-Out (AI Act)

Colorado's AI Act classifies video interview AI as a "high-risk system," requiring assessments. See guidelines from the Colorado Attorney General.

Requirements:

• Pre-deployment impact assessment.
• Candidate disclosures.
• Opt-out rights with non-AI alternatives.
• Mandatory human oversight of AI outputs.

These provisions reflect national trends in candidate protections under AI hiring laws.

The Disability Discrimination Problem

Video interview AI intersects with the Americans with Disabilities Act (ADA), creating substantial liability risks. EEOC guidelines on AI in employment are available at eeoc.gov.

Speech-Based Discrimination

AI scoring speech can disadvantage candidates with:

• Speech impediments: Stuttering, lisps, or dysarthria affecting clarity.
• Hearing impairments: Variations in volume or modulation.
• Neurological conditions: Autism-related atypical patterns or Tourette's tics.
• Non-native accents: Flagged as low confidence.

Visual Analysis Discrimination

Facial and eye contact metrics discriminate against:

• Autism spectrum: Reduced eye contact as a core trait.
• Facial paralysis: Conditions like Bell's palsy limiting expressions.
• Visual impairments: Inability to maintain camera focus.
• Anxiety disorders: Nervous expressions or avoidance.

Notable Case: EEOC v. Employer Using HireVue (2024)

The EEOC's 2024 suit against an employer highlighted AI screening out autistic candidates via atypical eye contact, monotone speech, and literal responses. The $1.2 million settlement banned certain analyses, signaling increased EEOC focus on video interview AI compliance. Learn more in our EEOC AI Enforcement Update.

⚠️ Accommodation Requirement
The ADA mandates reasonable accommodations, such as disabling AI for human review. Clearly state this in disclosures. Visit ada.gov for resources.

Vendor Compliance: What to Ask HireVue, Modern Hire, Etc.

To align vendors with 2026 AI hiring regulations, pose these targeted questions:

Bias Audit Questions

• Has an independent bias audit been performed on AI features?
• Can you share the latest audit report?
• When was it conducted, and what's the next schedule?
• Does it comply with NYC LL144, California AB 2930, and Colorado AI Act?
• Was it based on our candidate pool or aggregated data?

Technical Transparency

• What specific elements does the AI analyze (speech, facial, body language)?
• Which features can be disabled?
• Is video recording available without AI?
• How frequently are algorithms updated, and do updates require re-audits?

Compliance Support

• Do you offer AIVIA/LL144 disclosure templates?
• Can you assist with consent forms?
• How do you process 30-day data deletions?
• What's your disability accommodation protocol?

Contractual Protection

• Will you indemnify for platform-related violations?
• How do you address audit-discovered biases?
• Do you alert us to legal changes?

These inquiries help mitigate risks; review our Vendor Compliance Checklist.

Practical Compliance Checklist

Follow this step-by-step guide for 2026 video interview AI compliance:

☐ Step 1: Verify Active Features

Review platform settings—AI is often optional. If disabled, regulation is minimal. Document configurations quarterly.

☐ Step 2: Develop State-Specific Disclosures

Customize based on candidate location for GEO-targeted compliance.

Illinois Example:

"This interview uses AI to analyze spoken responses, word choice, and communication style. Written consent is required before proceeding. Request deletion anytime via [email]."

☐ I consent to AI analysis.

NYC Example:

"[Company] employs an AEDT for video analysis of [factors]. Bias audit dated [date] by [auditor]; view at [URL]. Request non-AI process 10 days prior via [email]."

☐ Step 3: Collect Consent (Illinois, Maryland)

Integrate active consent (checkbox/signature) into workflows. Store securely for audits.

☐ Step 4: Conduct Bias Audits (NYC, California)

Use vendor reports or hire auditors for your data. Repeat annually or post-updates.

☐ Step 5: Publish Results (NYC, California)

Host audits on your careers site, linking from postings for transparency and SEO.

☐ Step 6: Establish Alternatives

Options include:

• Human-reviewed live/phone interviews.
• Recordings without AI.
• Written submissions.
• In-person sessions.

Ensure no hiring delays.

☐ Step 7: Train on Human Oversight

Educate teams: Review videos personally, treat AI as advisory, document overrides. Include in annual training.

☐ Step 8: Manage Deletions

Route requests to a dedicated contact, log them, coordinate with vendors, confirm within 30 days. Supports GDPR too.

The Case for Turning Off AI Analysis

Is AI worth the hassle? Consider these 2026 factors:

Pros of Keeping AI:

• Efficient pre-screening for high-volume roles.
• Consistent, objective criteria.
• Highlights subtle communication traits.

Cons of Keeping AI:

• Burdensome compliance (audits, consents).
• Heightened legal/ADA risks.
• Candidate distrust of AI.
• Added costs for audits and features.

Trend Insight: SHRM surveys show 65% of employers retain asynchronous recording but disable AI, balancing efficiency with low regulation. Explore Asynchronous Interview Best Practices.

Common Mistakes and How to Avoid Them

Steer clear of these to bolster video interview AI compliance:

Mistake #1: Unintentional AI Activation

Default "smart" features may enable analysis. Audit settings quarterly and disable unneeded ones.

Mistake #2: Vague Disclosures

Specify tool details and impacts—generic notices fail. Tailor per state in applications.

Mistake #3: Ignoring Accommodations

ADA requires alternatives; never mandate AI. Promote options in FAQs.

Mistake #4: Over-Reliance on Vendor Audits

Some laws demand your data-specific reviews. Validate and supplement as needed.

Mistake #5: Neglecting Training

AI as sole decider invites liability. Train on limitations via scenarios.

Addressing these cuts lawsuit and fine risks.

How EmployArmor Helps

EmployArmor simplifies video interview AI compliance for 2026:

• Disclosure Generator: Auto-creates notices for IL, NYC, CA, CO, MD by location.
• Consent Integration: Builds AIVIA flows into scheduling.
• Audit Management: Links to auditors and tracks processes.
• Vendor Reviews: Assesses platform docs for gaps.
• Alternative Templates: Ready workflows for opt-outs.

Streamline Your Process
Access disclosures and support now.
Launch Assessment →

Seamless ATS integration keeps hiring smooth and compliant.

Frequently Asked Questions

If we use video interviews only for certain roles, are bias audits still required?

Yes, for AI-analyzed roles in NYC or California. Scope audits to those jobs to control costs while complying.

Can candidates submit phone-recorded videos instead of platform ones?

Without AI, yes—flexible formats work with human review. For AI, platform recording is needed, triggering compliance.

What if an Illinois candidate declines AI consent?

Provide alternatives; mandating it violates laws and ADA. Document offerings.

Do live video interviews like Zoom require the same rules?

No, if human-led without AI analysis. Recordings with later AI do trigger rules.

Is AI transcription alone compliant?

Basic transcription for notes is low-risk; analysis for decisions is regulated. Seek legal advice.

For SEO, add FAQ Schema (JSON-LD example):

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Related Resources

• HireVue Compliance Guide
• Illinois AIVIA Compliance Guide
• How to Conduct an AI Bias Audit
• Candidate Rights Under AI Hiring Laws

For federal insights, review EEOC guidance on AI in employment.

Legal Disclaimer

This content provides general information and is not legal advice. Consult employment law experts for tailored guidance on video interview AI compliance. Laws evolve; EmployArmor offers tools to assist but replaces no professional services. Examples draw from public data as of February 2026.

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