New York's AI Video Disclosure Law: What the Synthetic Performer Mandate Means for Advertisers, Brands, and Content Creators in 2026

On December 11, 2025, New York Governor Kathy Hochul signed S.8420-A/A.8887-B into law—the first state legislation in the nation requiring advertisers to explicitly disclose when AI-generated "synthetic performers" appear in commercial advertisements. Effective June 9, 2026, the law mandates conspicuous disclosure across all paid advertising channels including Meta, Google, YouTube, TikTok, CTV, and display networks.

This legislation represents a watershed moment in AI regulation. While federal frameworks debate broad AI governance, New York has taken decisive action with a narrowly targeted, enforceable mandate that affects every advertiser, brand, agency, and content creator doing business in the state. Violations carry civil penalties of $1,000 for first offenses and $5,000 for subsequent violations—and with New York's aggressive consumer protection enforcement history, compliance is not optional.

Alongside the disclosure law, New York simultaneously enacted S.8391, expanding post-mortem publicity rights to cover digital replicas of deceased performers. Together, these laws establish New York as the most stringent jurisdiction for AI-generated human imagery in advertising, setting precedents likely to cascade across California, Illinois, Texas, and eventually federal legislation.

This comprehensive guide explores the legal requirements, definitions, penalties, exemptions, industry impact, compliance strategies, and technical solutions—including face blurring tools like bgblur.com—to help advertisers navigate this new regulatory landscape.

Part I: The Law – S.8420-A Explained

What is S.8420-A?

Full Title: An act to amend the general business law, in relation to requiring disclosure of the use of artificial intelligence in advertisements

Bill Number: S.8420-A / A.8887-B

Signed: December 11, 2025 by Governor Kathy Hochul

Effective Date: June 9, 2026 (180 days after signing)

Amends: New York General Business Law § 396-b

Legislative Intent

Governor Hochul's signing statement emphasized:

"As artificial intelligence continues to reshape the advertising industry, New Yorkers deserve transparency about when they're viewing AI-generated content versus real human performers. This law protects consumers from deceptive marketing practices while preserving creative freedom for legitimate artistic expression."

The law responds to three converging trends:

1. Proliferation of generative AI tools - Midjourney, Stable Diffusion, Runway, Pika, and others make synthetic human imagery trivially easy
2. Consumer confusion - Studies show 67% of consumers cannot reliably distinguish AI-generated faces from real photos
3. Deepfake abuse in advertising - Cases of unauthorized AI-generated celebrity endorsements, fake testimonials, and deceptive product claims

New York is the first state to mandate disclosure, but California, Illinois, and Texas are advancing similar legislation.

Part II: Core Requirements

Who Must Comply?

The law applies to:

"Any person engaged in the business of dealing in any property or service who, for any commercial purpose, produces or creates an advertisement"

Practical scope:

✅ Advertisers - Brands, businesses, e-commerce sellers ✅ Advertising agencies - Creative agencies producing ad content ✅ Marketing platforms - Companies creating ad campaigns for clients ✅ Political campaigns - Candidates and PACs running paid ads ✅ Influencers/creators - Monetized sponsored content

❌ Media outlets/platforms - Newspapers, magazines, TV networks, streaming services, billboards, and social platforms that publish or disseminate ads are not liable (similar to Section 230 immunity)

What is a "Synthetic Performer"?

The law defines a synthetic performer as:

"A digital asset that is created, reproduced, or modified by computer, using generative artificial intelligence or a software algorithm, that is intended to give the impression that the asset is in an audio, audiovisual, and/or visual performance of a human performer when it is not recognizable as any identifiable natural performer."

Key elements:

1. Digitally created or modified - Using generative AI or software algorithms
2. Impression of human performance - Looks/sounds like a real person
3. Not recognizable as any identifiable person - Not a specific celebrity or individual

Examples that qualify as synthetic performers:

• AI-generated faces created with Midjourney/Stable Diffusion that appear in product ads
• Synthetic voiceovers created with ElevenLabs/Descript that narrate commercials
• Virtual influencers like Lil Miquela or Aitana Lopez promoting products
• Composite images blending multiple real faces into a non-identifiable person
• Deepfake performances where an AI-generated person demonstrates a product

Examples that do NOT qualify:

• Real human models photographed for ads (even if Photoshopped)
• Identifiable celebrities - Because they are "recognizable as an identifiable natural person," separate laws (like S.8391 on digital replicas) apply
• Cartoon/animated characters - Not intended to give impression of real human
• Product-only images - No human performers at all
• Background/wide shots - Where humans are incidental, not the performer

What Does "Conspicuous Disclosure" Mean?

The law requires disclosure to be "conspicuous" but does not specify:

• Exact wording/language
• Placement (overlay, caption, disclaimer)
• Size/font requirements
• Format differences by medium (video vs static vs audio)

Legal standard for "conspicuous":

New York courts typically interpret "conspicuous" to mean:

1. Visible/audible - Not hidden in fine print or buried in disclosures
2. Proximate - Near the synthetic performer, not at end of 30-second ad
3. Clear - Understandable language, not legalese
4. Proportional - Appropriately sized for the medium

Practical implementations emerging:

For Video Ads (Meta, YouTube, TikTok, CTV):

• Text overlay: "This ad features AI-generated performers"
• Corner badge: "Synthetic Performer" icon
• Voiceover disclaimer: "The people in this ad are AI-generated"

For Static Ads (Display, Instagram, Facebook):

• Corner watermark: "AI Generated"
• Caption text: "Features synthetic performers"
• Hashtag: #AIGenerated #SyntheticPerformer

For Audio Ads (Spotify, Podcasts):

• Verbal disclaimer: "This advertisement features a synthetic voice"

The New York Attorney General's office is expected to issue guidance on acceptable disclosure formats by April 2026.

Knowledge Requirement

Disclosure is required only if the advertiser has "actual knowledge" that a synthetic performer is used.

What constitutes "actual knowledge"?

• ✅ You generated the image with Midjourney

• ✅ Your agency told you it's AI-generated

• ✅ The vendor invoice lists "AI model generation"

• ✅ You explicitly requested synthetic performers

• ❓ You suspect but didn't verify

• ❌ You purchased stock photos without asking

• ❌ A third-party vendor handled creative without disclosure

Practical implication:

Advertisers may be incentivized to avoid learning whether content is AI-generated. However, New York's consumer protection enforcement typically interprets "actual knowledge" to include willful blindness—deliberately avoiding information you should reasonably know.

Best practice: Require vendors/agencies to disclose AI usage in contracts and deliverables.

Part III: Penalties and Enforcement

Civil Penalties

• First violation: $1,000 per advertisement
• Subsequent violations: $5,000 per advertisement

What counts as "per advertisement"?

• Each unique creative likely counts separately
• Same creative across multiple platforms may count as one ad or multiple (unclear pending enforcement)

Example scenario:

An e-commerce brand runs:

• 5 different AI-generated model photos on Meta
• Same 5 images on Google Display
• No disclosure on any

Potential penalty:

• If counted per unique creative: 5 violations × $1,000 = $5,000
• If counted per platform placement: 10 violations × $1,000 = $10,000

If the brand continues running undisclosed ads after the first violation, subsequent penalties jump to $5,000 each.

Enforcement Mechanism

The law is enforced by the New York Attorney General under General Business Law § 396-b, which prohibits deceptive advertising practices.

Enforcement process:

1. Investigation - AG receives complaints or proactively monitors advertising
2. Notice - Advertiser receives notice of alleged violation
3. Cure period - Opportunity to add disclosure and cease violations
4. Penalty assessment - AG assesses civil penalties
5. Settlement or litigation - Advertiser may settle or contest in court

Precedent from NY AG enforcement:

New York's AG has aggressively enforced consumer protection laws:

• 2023: Fined influencer marketing platform $1.2M for undisclosed sponsored content
• 2024: Sued multiple supplement brands for deceptive health claims
• 2025: Investigated AI-generated fake reviews on e-commerce platforms

Takeaway: NY AG Letitia James has a track record of swift, aggressive enforcement. Compliance is not optional.

Private Right of Action?

No. The law does not create a private right of action—only the AG can enforce.

However, class action lawsuits under existing consumer protection statutes (e.g., New York General Business Law § 349 – deceptive practices) remain possible if consumers can prove they were deceived by undisclosed synthetic performers.

Part IV: Exemptions and Safe Harbors

1. Expressive Works Exemption

Exempt: Advertisements and promotional materials for expressive works (movies, TV shows, streaming content, documentaries, video games) are exempt if the use of synthetic performers in the advertisement is consistent with their use in the underlying work.

Why this exemption exists:

Trailers, posters, and promotional content for films/games often feature CGI, visual effects, and digital performers. Requiring disclosure for every Marvel movie trailer with digital effects would be impractical.

Examples:

✅ Exempt: Movie trailer for a sci-fi film featuring CGI aliens ✅ Exempt: Video game ad showing in-game characters ✅ Exempt: TV show promo with visual effects used in the show

❌ Not exempt: Ad for a movie using AI-generated fake audience testimonials ❌ Not exempt: Video game ad using AI-generated influencer endorsement

Key condition: The synthetic performer use in the ad must match its use in the actual work.

2. Language Translation Exemption

Exempt: Use of AI solely for language translation of a human performer does not trigger disclosure.

Examples:

✅ Exempt: Real actor's dialogue translated to Spanish using AI voice synthesis ✅ Exempt: Lip-sync AI to match dubbed language

❌ Not exempt: AI-generated voice replacing human voice entirely (not translation)

3. Media Outlet/Platform Immunity

Exempt: Media outlets and platforms that publish or disseminate advertisements (newspapers, magazines, TV networks, streaming services, billboards, Meta, Google, TikTok) are not liable for third-party advertiser violations.

Rationale: Similar to Section 230 immunity, platforms are not publishers of third-party content.

Practical implication:

• Meta/Google won't reject ads without disclosure (they're not liable)
• Advertisers bear full compliance responsibility
• Platforms may implement optional disclosure tools (similar to "Paid Partnership" tags)

4. Non-Human Imagery

Exempt: Product-only images or backgrounds without human performers do not require disclosure.

Examples:

✅ Exempt: AI-generated product images (shoes, gadgets) ✅ Exempt: AI-generated background scenery (landscapes, interiors)

❌ Not exempt: AI-generated human hands holding product ❌ Not exempt: AI-generated person wearing clothing

Part V: The Companion Law – Digital Replicas of Deceased Performers (S.8391)

Overview

Simultaneously with S.8420-A, Governor Hochul signed S.8391—expanding New York's right of publicity law to cover digital replicas of deceased performers.

Effective: December 11, 2025 (immediate)

Who is Protected?

"Deceased personalities" - Natural persons:

• Domiciled in New York at time of death
• Whose name, voice, signature, photograph, or likeness had commercial value at death or gained such value posthumously

"Deceased performers" - Individuals regularly engaged in:

• Acting
• Singing
• Dancing
• Playing musical instruments

for gain or livelihood.

What is a "Digital Replica"?

"Computer-generated, electronic representations that are readily identifiable as the voice or visual likeness of an individual in sound recordings, images, audiovisual works, or transmissions where the actual individual did not perform or where the performance has been materially altered."

Examples:

• AI-generated deepfake of James Dean promoting a product
• Synthetic voice of Aretha Franklin in a commercial
• CGI recreation of Robin Williams in an ad

Consent Requirements

Unauthorized use of a deceased personality's:

• Name
• Voice
• Signature
• Photograph
• Likeness
• Digital replica

for commercial purposes requires consent from specified rights holders:

1. Deceased's estate/trust
2. Surviving spouse
3. Children
4. Parents
5. Siblings (in order of priority)

Consent duration: Rights last for 40 years after death.

Penalties

Damages:

• Greater of $2,000 or actual compensatory damages
• Attributable profits from unauthorized use
• Punitive damages (if willful)

Knowledge requirement: Liable only if user knew the use was unauthorized.

Strategic Implications

This law directly targets the "Deepfake Tupac endorses crypto" problem—unauthorized AI resurrections of deceased celebrities for commercial gain.

Impact on advertisers:

• Cannot use AI-generated celebrity likenesses without estate approval
• Estate consent costs will rise (scarcity of available celebrities)
• Increased legal risk for vintage celebrity campaigns

Example case:

An energy drink brand uses AI to generate a deepfake Michael Jackson performance in a commercial. Jackson's estate files suit under S.8391:

• Statutory damages: $2,000 minimum
• Actual damages: Market rate for MJ endorsement (~$5-10M)
• Attributable profits: Campaign drove $50M in sales
• Total exposure: $10M+ damages

Part VI: Industry Impact Analysis

1. Digital Advertising (Meta, Google, TikTok, Snap)

Current state:

AI-generated model images are ubiquitous in e-commerce advertising:

• Fashion brands use Midjourney models to avoid photoshoot costs
• Supplement brands generate diverse body types for A/B testing
• Local businesses create fake customer testimonials

Impact of S.8420-A:

✅ Compliant approach:

• Add "AI-generated model" disclosure to creative
• Update ad templates with disclosure overlays
• Train media buyers on compliance

❌ Risky approach:

• Continue using synthetic performers without disclosure
• Hope for lack of enforcement (bad bet in NY)

Operational changes:

Cost impact: Minimal—adding disclosure text/overlay takes <5 minutes per creative.

Conversion impact: Unknown—will "AI-generated" disclosure reduce click-through or conversion rates?

Early studies suggest:

• Neutral to slightly positive for fashion/product ads (transparency appreciated)
• Negative for testimonials/reviews (trust undermined)

2. Influencer Marketing & Creator Economy

Current state:

Virtual influencers (Lil Miquela, Aitana Lopez) generate sponsored content without disclosure that they're AI-generated.

Impact:

Virtual influencers must now disclose AI nature in every paid post targeting NY residents.

Example:

Lil Miquela (3M Instagram followers) posts sponsored content for a skincare brand:

Before: Standard #ad disclosure After: #ad #AIGenerated or caption "This is a synthetic performer"

Strategic question: Does disclosure reduce influencer effectiveness?

Data from early adopters:

Virtual influencer Aitana Lopez added "AI model" disclosure to bio and posts:

• Engagement rate: No significant change (followers already knew)
• Brand deals: Increased (transparency attracted ethical brands)

3. Political Advertising

Special considerations:

While S.8420-A applies to commercial advertising, New York's amended election law separately mandates disclosure of "materially deceptive media" in political communications.

Definition: Political communication produced by or including materially deceptive media must disclose if the distributor has actual knowledge.

Examples:

• Deepfake video of candidate saying something they never said
• AI-generated crowd at rally
• Synthetic voice in attack ad

Disclosure requirement: Clearer and more prominent than commercial ad disclosure.

Penalties: Civil penalties plus potential criminal charges for election fraud.

Impact on 2026 midterms:

New York political advertisers must:

• Disclose any AI-generated imagery in campaign ads
• Verify vendor compliance
• Document disclosure in FEC filings

4. E-commerce & Direct-to-Consumer Brands

Current state:

DTC brands heavily use AI-generated models for:

• Product photos (clothing, accessories)
• Lifestyle imagery
• User-generated content (fake reviews)

Impact:

Scenario 1: Fashion brand uses AI models

Before:

• Generate 50 AI model images for new collection
• Upload to Shopify product pages
• Run Meta ads

After:

• Generate 50 AI model images
• Add "Model is AI-generated" watermark to each image
• Update product page disclaimers
• Add disclosure to Meta ads

Scenario 2: Supplement brand uses fake testimonials

Before:

• Generate AI faces + fake testimonial text
• Display on landing page

After:

• Must disclose "Testimonial features synthetic performer"
• (Or switch to real customer testimonials)

Strategic shift:

Many DTC brands are returning to human models to avoid disclosure friction. Cost savings from AI generation are offset by:

• Reduced trust from disclosure
• Legal compliance overhead
• Potential conversion rate decrease

5. Film, TV, and Gaming Industries

Impact: Minimal due to expressive works exemption.

Movie trailers, TV promos, and game ads featuring CGI/VFX are exempt as long as synthetic performer use matches the underlying work.

However: Promotional content using AI-generated audience testimonials, fake critic quotes, or synthetic influencer endorsements is not exempt and requires disclosure.

Part VII: Compliance Strategies

Step 1: Audit Existing Advertising

Action items:

1. Inventory all active campaigns across Meta, Google, TikTok, display, CTV, etc.
2. Identify AI-generated content:
   • Review creative files
   • Check vendor invoices
   • Ask designers/agencies
3. Flag campaigns requiring disclosure

Documentation template:

Step 2: Implement Disclosure

Option A: Text Overlay

For video ads:

[Corner of frame, first 3 seconds]
"This ad features AI-generated performers"

[or]

"Synthetic performer"

For static ads:

[Top-right corner, white text on semi-transparent background]
"AI Generated"

Option B: Voiceover Disclaimer

For video/audio ads:

[First 3 seconds of audio]
"The following advertisement features AI-generated voices and performances."

Option C: Platform-Specific Disclosure

Some platforms may introduce native disclosure tools (similar to Instagram's "Paid Partnership" tag).

As of June 2026:

• Meta: No native tool yet (use text overlay)
• Google: No native tool (use text overlay)
• TikTok: Testing "AI Content" label (opt-in)

Step 3: Update Contracts and Vendor Agreements

Require vendors/agencies to:

1. Disclose AI usage in all deliverables
2. Add compliant disclosure to creative files
3. Indemnify advertiser for non-compliance

Sample contract clause:

"Vendor warrants that all creative deliverables will include conspicuous disclosure if synthetic performers are used, in compliance with New York General Business Law § 396-b. Vendor agrees to indemnify Client for any penalties, damages, or costs arising from Vendor's failure to comply with applicable AI disclosure laws."

Step 4: Train Internal Teams

Media buyers, designers, and marketing managers must:

• Understand S.8420-A requirements
• Recognize synthetic performers
• Implement disclosure workflow
• Document compliance

Training checklist:

✅ What is a synthetic performer? ✅ When is disclosure required? ✅ How to add disclosure (templates) ✅ Exemptions (expressive works, translation) ✅ Penalties for non-compliance ✅ Vendor compliance verification

Step 5: Monitor Regulatory Guidance

The New York Attorney General is expected to publish:

• Sample disclosure language (by April 2026)
• Enforcement priorities (by May 2026)
• FAQ for advertisers (by May 2026)

Where to monitor:

• NY AG website
• Trade associations (ANA, 4A's, IAB)
• Legal alerts from advertising law firms

Part VIII: Technical Solutions for Privacy Compliance

Face Blurring for Privacy Protection

While S.8420-A focuses on disclosure of synthetic performers, many advertisers are also concerned about privacy compliance when using real human imagery—especially under laws like:

• GDPR (Europe) - Requires consent for identifiable faces
• CCPA/CPRA (California) - Regulates biometric data
• BIPA (Illinois) - Strict biometric privacy law

Solution: Face blurring tools like bgblur.com enable advertisers to:

✅ Anonymize real people in B-roll footage ✅ Protect employee/customer privacy in case studies ✅ Comply with GDPR without explicit consent ✅ Reduce legal risk from incidental captures

bgblur.com for Video Content

bgblur.com offers:

• Automated face detection and blurring in videos
• Batch processing for high-volume content
• Customizable blur intensity (pixelation, Gaussian blur, emoji overlays)
• Fast processing (real-time for short clips)

Use cases:

1. Corporate videos - Blur employees in background
2. Event footage - Anonymize attendees at conferences
3. User-generated content - Blur non-consenting individuals
4. Compliance content - Demonstrate privacy controls

Integration with ad workflows:

[Workflow]
1. Capture video footage with real people
2. Upload to bgblur.com
3. Automated face detection
4. Apply blur to non-consenting individuals
5. Export final video
6. Use in advertising (no synthetic performers, no disclosure needed)

Pricing: Varies by video length and volume (see bgblur.com/pricing)

Alternative: Shift to Fully Synthetic Content

Some advertisers are embracing AI-generated content and proactively disclosing rather than navigating the complexity of real human consent/privacy.

Rationale:

• Synthetic performers = No GDPR/BIPA/CCPA exposure
• Disclosure requirement is simple text overlay
• Creative control (generate any demographic/look)
• Cost efficiency (no photoshoots)

Trend: "Synthetic-first" advertising where brands:

1. Generate all imagery with AI
2. Add conspicuous disclosure
3. Avoid real human privacy issues entirely

Part IX: Multi-State Compliance Landscape

States Considering Similar Laws

As of June 2026:

Federal Legislation Outlook

Current federal efforts:

• AI Foundation Model Transparency Act - Disclosure requirements for AI training data (not advertising)
• FTC guidance - Reviewing deceptive AI practices under existing consumer protection laws
• FCC proposed rules - Disclosure for AI in political robocalls

Prediction:

Federal AI advertising disclosure law unlikely before 2028. States will lead, creating a patchwork of compliance requirements.

Multi-State Compliance Strategy

Challenge:

If California, Illinois, and Texas enact different disclosure requirements, advertisers face:

• Different disclosure language per state
• Different penalty structures
• Different exemptions

Solutions:

Option 1: Comply with strictest standard

Adopt the most stringent disclosure (likely California's $10K penalty law) and apply nationwide.

Option 2: Geo-targeted disclosure

Use platform targeting to show disclosure only to NY/CA/IL residents.

Option 3: Avoid synthetic performers in regulated states

Use real human models or product-only imagery for campaigns targeting strict jurisdictions.

Part X: Ethical and Strategic Considerations

Consumer Trust

Research on AI disclosure impact:

• Study by Northwestern University (2025): 73% of consumers appreciate transparency about AI use in advertising
• Survey by Marketing AI Institute (2026): 41% of consumers trust ads less when AI-generated performers are disclosed

Contradictory findings suggest:

• Disclosure increases trust in brands that proactively explain AI use
• Disclosure decreases trust in specific ad content (e.g., testimonials)

Net impact: Likely category-dependent:

✅ Positive impact: Fashion, lifestyle, product showcase ❌ Negative impact: Testimonials, endorsements, expert recommendations

Brand Positioning

Strategic question: Should brands embrace or hide AI usage?

Embrace AI (proactive disclosure):

Brands like The North Face and Coca-Cola are experimenting with "AI-native" campaigns that celebrate AI generation:

• Ads explicitly branded as "Created with AI"
• Behind-the-scenes content showing AI workflow
• Educational messaging about AI capabilities

Result: Positioning as innovative, transparent, tech-forward.

Minimize AI (compliance-only disclosure):

Traditional brands add minimal, legally compliant disclosure without drawing attention:

• Small text overlay
• End-of-ad disclaimer
• Hashtags buried in caption

Result: Compliance without changing brand perception.

Future of Advertising

Long-term prediction:

By 2028-2030, AI-generated content will be so ubiquitous that disclosure becomes:

1. Normalized - Consumers expect most digital ads to include AI
2. Inverted - "Real human model" becomes a premium signal (like "organic" for food)
3. Irrelevant - Consumers stop caring about AI vs. real distinction

Analogy:

Today's disclosure debate mirrors the 2000s debate over "Photo retouched" disclaimers. Initially controversial, now consumers assume all fashion imagery is edited. Disclosure faded into irrelevance.

Strategic implication:

Early compliance and transparent communication position brands for long-term trust as AI becomes standard.

Conclusion: Preparing for June 9, 2026

New York's synthetic performer disclosure law represents a turning point in AI regulation—moving from aspirational frameworks to concrete, enforceable mandates with real penalties.

For advertisers, brands, agencies, and content creators doing business in New York, the path forward is clear:

Immediate actions (before June 9, 2026):

1. ✅ Audit all advertising for synthetic performers
2. ✅ Implement disclosure in compliant formats
3. ✅ Update vendor contracts to require AI disclosure
4. ✅ Train internal teams on compliance requirements
5. ✅ Monitor AG guidance for official disclosure templates

Strategic decisions:

• Embrace transparency or minimize disclosure?
• Continue synthetic performers or return to real humans?
• Geo-target compliance or apply nationwide?

Technical solutions:

• Face blurring tools like bgblur.com for privacy compliance
• Disclosure templates for video, static, and audio ads
• Documentation systems to prove compliance

The law's impact extends beyond New York. As California, Illinois, and other states advance similar legislation, multi-state compliance will become the norm. Advertisers who build transparent, scalable AI disclosure workflows today will be well-positioned for the patchwork of state laws emerging tomorrow.

The era of undisclosed AI-generated advertising is ending. The question is not whether to comply, but how to do so in a way that preserves brand trust, creative flexibility, and competitive advantage.

Resources and Further Reading

Official sources:

• New York S.8420-A Full Text
• Governor Hochul's Announcement
• New York Attorney General - Consumer Protection

Legal analysis:

• Skadden: Two Newly Enacted New York Laws
• Davis+Gilbert: AI Legal Updates
• Cooley: Synthetic Performer Disclosure Law
• Debevoise & Plimpton: Landmark AI Laws

Industry guidance:

• New York AI Disclosure Law: What Creators Must Know
• Foxwell Digital: What Brands Must Know
• National Law Review: Digital Marketers Guide

Privacy and compliance tools:

• bgblur.com - Face Blurring for Video

State legislation tracking:

• Ballotpedia: AI Deepfake Policy in New York