{"id":3477,"date":"2026-08-03T05:26:16","date_gmt":"2026-08-03T05:26:16","guid":{"rendered":"https:\/\/resources.sozee.ai\/resources\/protect-ai-generated-content-likeness\/"},"modified":"2026-08-03T05:26:16","modified_gmt":"2026-08-03T05:26:16","slug":"protect-ai-generated-content-likeness","status":"publish","type":"post","link":"https:\/\/www.sozee.ai\/resources\/protect-ai-generated-content-likeness\/","title":{"rendered":"How to Protect Your AI-Generated Content and Likeness"},"content":{"rendered":"<h2 id=\"key-takeaways\">Key Takeaways for Protecting Your AI Likeness<\/h2>\n<ul>\n<li>Creators must assert their right of publicity under the 2026 NO FAKES Act and add AI-specific restrictions to every contract to block unauthorized likeness use.<\/li>\n<li>Technical protections such as C2PA provenance, perceptual watermarks, and Glaze-style anti-scraping tags reduce training data harvesting and strengthen ownership claims.<\/li>\n<li>Platform tools on YouTube, Instagram, and Fanvue need to be enabled with reference likeness samples so automated detection and takedown systems can work.<\/li>\n<li>Consistent, locked AI characters created inside Sozee remove the slot-machine problem and create defensible IP from the first frame.<\/li>\n<li><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\">Use Sozee to lock your likeness at creation and keep every published frame tied back to you.<\/a><\/li>\n<\/ul>\n<h2>The Problem: Escalating Risk Around AI Likeness Misuse<\/h2>\n<p>AI generation tools now give creators extraordinary output speed, but they also create an equally large exposure problem. <a href=\"https:\/\/resemble.ai\/resources\/2025-deepfake-threat-report\" target=\"_blank\" rel=\"noindex nofollow\">Resemble AI&#8217;s 2025 Deepfake Threat Report documented 1,567 verified deepfake incidents generating 296.4 billion combined media impressions.<\/a> <a href=\"https:\/\/adaptivesecurity.com\/blog\/ai-deepfake-trends-the-complete-2025-2026-guide-to-statistics-threats-detection-and-defense-stra\" target=\"_blank\" rel=\"noindex nofollow\">Deepfake files online grew from roughly 500,000 in 2023 to an estimated 8 million by 2025<\/a>, which represents a 1,500% increase in two years.<\/p>\n<p>For creators, exposure operates on three levels. Scrapers harvest publicly posted AI-generated images to fine-tune competing models. Bad actors clone consistent characters into deepfake content the original creator never authorized. Inconsistent AI faces, known as the slot-machine problem, prevent creators from asserting ownership over a character because no two frames match closely enough to prove a single identity.<\/p>\n<p>The solution uses a three-layer protection system: legal (rights assertion and contracts), technical (watermarking and provenance), and platform (detection tools and takedowns). Sozee&#8217;s Cast workflow adds a fourth layer by locking likeness at the moment of creation, before exposure becomes possible. Each layer reinforces the others, and no single layer works reliably on its own.<\/p>\n<p>The following seven steps turn this layered defense into a practical checklist, moving from legal foundations through technical safeguards to proactive creation controls.<\/p>\n<h2>Protect AI Generated Content Likeness: The 7-Step Checklist<\/h2>\n<h3>Step 1: Assert Your Right of Publicity Under the 2026 NO FAKES Act<\/h3>\n<p><a href=\"https:\/\/manatt.com\/insights\/newsletters\/client-alert\/congress-reintroduces-the-no-fakes-act-what-s-new-in-the-2026-bill\" target=\"_blank\" rel=\"noindex nofollow\">On May 20, 2026, a bipartisan group of legislators reintroduced the NO FAKES Act as S.4591 and H.R.8915, creating a federal, licensable property right in every individual&#8217;s voice and visual likeness, enforceable against unauthorized digital replicas produced by generative AI.<\/a> <a href=\"https:\/\/politico.com\/live-updates\/2026\/06\/18\/congress\/anti-deep-fake-bill-advances-to-senate-floor-00967021\" target=\"_blank\" rel=\"noindex nofollow\">The Senate Judiciary Committee unanimously advanced the bill on June 18, 2026, with endorsements from YouTube, TikTok, OpenAI, Disney, and SAG-AFTRA.<\/a><\/p>\n<p>Creators should assert this right now by publishing a clear rights statement on every platform profile, website footer, and content description. Use this copy-paste template:<\/p>\n<blockquote>\n<p>\u00a9 2026 [Your Name or Studio]. All visual likeness, voice, and AI-generated characters appearing in this content are protected under applicable right of publicity laws, including the NO FAKES Act (S.4591), and may not be reproduced, replicated, or used to train generative AI systems without prior written authorization.<\/p>\n<p><strong>Pro Tip:<\/strong> File your likeness with your state&#8217;s right of publicity registry if one exists. <a href=\"https:\/\/natlawreview.com\/article\/washington-state-takes-ai-deepfakes\" target=\"_blank\" rel=\"noindex nofollow\">Washington state&#8217;s 2026 amendment to RCW 63.60 now permits recovery of non-economic damages including reputational harm<\/a>, and similar statutes operate in Tennessee, New York, Montana, and Illinois.<\/p>\n<p><strong>Common Pitfall:<\/strong> Asserting rights only on your primary platform. Scrapers harvest from every surface, so assert your rights on every channel where your content appears.<\/p>\n<h3>Step 2: Add AI-Specific Carve-Outs to Every Contract<\/h3>\n<p><a href=\"https:\/\/www.uktechnews.info\/2026\/03\/19\/numonic-secures-250k-pre-seed-investment-from-fuel-ventures\/\" target=\"_blank\" rel=\"noindex nofollow\">No 2026 Numonic Agency Survey on AI clauses in MSAs is documented in available sources.<\/a><\/p>\n<p>Every brand deal, agency agreement, and platform partnership needs three coordinated clauses that close gaps in standard licensing language. First, a training data restriction prevents your deliverables from becoming fuel for someone else&#8217;s model improvement: <em>&#8220;Neither party may use the other party&#8217;s data, materials, or deliverables to train, fine-tune, or improve any AI or machine learning model without prior written consent.&#8221;<\/em> Second, an IP ownership fallback protects your control when AI outputs fail to qualify for copyright: <em>&#8220;To the extent any deliverable is generated by an AI system and determined not to constitute a copyrightable work, the agency assigns to the client all rights, title, and interest it may hold in such AI output.&#8221;<\/em> Third, a metadata preservation requirement creates an evidence trail for future disputes: <em>&#8220;The agency shall deliver AI-generated content with embedded provenance metadata meeting IPTC 2025.1 AI fields and C2PA Content Credentials where feasible.&#8221;<\/em><\/p>\n<p><a href=\"https:\/\/authorsguild.org\/advocacy\/artificial-intelligence\/ai-model-clauses\" target=\"_blank\" rel=\"noindex nofollow\">The Authors Guild model clause states: &#8220;Author reserves the rights, and Publisher acquires no rights to, reproduce, distribute and\/or otherwise use or create derivative works of the Work for purposes of training generative artificial intelligence technologies.&#8221;<\/a> Adapt this language for creator agreements so your contracts match current AI practice.<\/p>\n<p><strong>Pro Tip:<\/strong> State clearly that the restriction covers all third-party AI tools the other party uses, not only their internal systems.<\/p>\n<p><strong>Common Pitfall:<\/strong> Relying on general licensing language and assuming it covers AI. Courts and regulators treat AI training rights as a separate, expressly negotiated category.<\/p>\n<h3>Step 3: Apply Human-Alteration and Copyright Notices to AI Outputs<\/h3>\n<p>A copyright notice does not grant copyright in a fully AI-generated image. <a href=\"https:\/\/blog.promise.legal\/ai-generated-assets-game-ip-disclosure\" target=\"_blank\" rel=\"noindex nofollow\">The U.S. Copyright Office&#8217;s January 2025 Copyrightability Report confirms that fully AI-generated assets receive no copyright protection<\/a>. The notice still documents your claim over the human-authored elements such as prompt, direction, selection, and editing, and it discourages casual scraping.<\/p>\n<p>Embed this notice in every image&#8217;s EXIF\/IPTC metadata and display it in every post caption or description:<\/p>\n<blockquote>\n<p>\u00a9 2026 [Your Name]. Human-directed AI output. All rights reserved. No content on this page may be scraped, used for dataset creation, model training, fine-tuning, or synthetic replication without prior written permission. Contact: [email]<\/p>\n<p><a href=\"https:\/\/www.aiactblog.nl\/en\/posts\/article-50-transparency-obligations-practical-2026\" target=\"_blank\" rel=\"noindex nofollow\">The EU AI Act&#8217;s Article 50 transparency obligations take effect on 2 August 2026, with a transition period until 2 December 2026 for machine-readable marking on generative AI systems already on the market.<\/a> A human-alteration notice that documents your creative decisions supports both compliance and copyright arguments.<\/p>\n<p><strong>Pro Tip:<\/strong> Use a tool like Adobe Bridge or ExifTool to batch-embed IPTC copyright fields before publishing. This process takes a few minutes per batch and creates a timestamped evidence trail.<\/p>\n<p><strong>Common Pitfall:<\/strong> Posting notices only in captions. Platforms strip captions when content is reshared, so embed the notice in the file itself.<\/p>\n<h3>Step 4: Block Training with Glaze-Style Anti-Scraping Tags and C2PA 2.1 Provenance<\/h3>\n<p>C2PA now has adoption from OpenAI, Google, Leica, Sony, Nikon, and other major players. It attaches a cryptographically signed manifest to each file that records the creation tool, AI model, edit history, and a SHA-256 hash that breaks if the file changes.<\/p>\n<p>Apply C2PA credentials at export using Adobe Content Credentials in Photoshop and Firefly, or use the open-source <a href=\"https:\/\/inferensys.com\/guides\/digital-provenance-and-content-authenticity\/how-to-implement-digital-watermarking-for-ai-generated-content\" target=\"_blank\" rel=\"noindex nofollow\">c2pa-rs library for custom pipelines.<\/a> Pair C2PA with a perceptual watermark, because <a href=\"https:\/\/softwareseni.com\/c2pa-watermarking-fingerprinting-technical-comparison-ai-content-disclosure\" target=\"_blank\" rel=\"noindex nofollow\">C2PA manifests are stripped by every major social platform during re-encoding.<\/a> <a href=\"https:\/\/eyesift.com\/blog\/ai-watermarking\" target=\"_blank\" rel=\"noindex nofollow\">Google SynthID has already watermarked over 10 billion pieces of content<\/a>, which shows how widely this approach now applies.<\/p>\n<p>Add a <code>robots.txt<\/code> disallow for known AI training crawlers such as GPTBot, CCBot, and anthropic-ai. Include <code>noai<\/code> and <code>noimageai<\/code> meta tags on every page that hosts your content.<\/p>\n<p><strong>Pro Tip:<\/strong> Use Glaze from the University of Chicago to add imperceptible perturbations to images before publishing. These perturbations disrupt style-mimicry training while keeping visual quality intact for human viewers.<\/p>\n<p><strong>Common Pitfall:<\/strong> Relying on C2PA alone. <a href=\"https:\/\/aibuzz.blog\/ai-watermarking-vs-metadata-vs-fingerprinting\" target=\"_blank\" rel=\"noindex nofollow\">Microsoft&#8217;s Media Integrity and Authentication report notes that no single solution prevents all digital deception<\/a>, so creators need a multi-layer approach.<\/p>\n<h3>Step 5: Enable Platform Likeness Detection on YouTube, Instagram, and Fanvue<\/h3>\n<p>YouTube now requires creators to disclose realistic-looking altered or synthetic video with a toggle in upload settings. <a href=\"https:\/\/storrito.com\/resources\/tiktoks-2026-ai-labeling-rules-and-what-they-signal-for-platform-governance\/\" target=\"_blank\" rel=\"noindex nofollow\">TikTok&#8217;s Synthetic Media Policy as of May 2026 requires visible labeling for all realistic AI-generated visuals, audio, faces, and voices, prohibits deepfakes of real people without disclosure, and bans synthetic media of private individuals entirely.<\/a><\/p>\n<p>Enable these settings now:<\/p>\n<ul>\n<li><strong>YouTube:<\/strong> Go to YouTube Studio \u2192 Content \u2192 select video \u2192 Details \u2192 scroll to &#8220;Altered or synthetic content&#8221; \u2192 toggle on. This step activates YouTube&#8217;s Likeness Detection system, which flags unauthorized replicas of your face and voice across the platform.<\/li>\n<li><strong>Instagram\/Facebook:<\/strong> Go to Settings \u2192 Account \u2192 Digital Collectibles and AI Content \u2192 enable AI label requirements. <a href=\"https:\/\/susit.ai\/blog\/platform-policies-ai-content-2026\" target=\"_blank\" rel=\"noindex nofollow\">Meta applies automatic &#8220;Made with AI&#8221; labels to AI-generated images.<\/a><\/li>\n<li><strong>Fanvue:<\/strong> Go to Creator Dashboard \u2192 Profile Settings \u2192 Likeness Protection \u2192 enable &#8220;Report AI Replica&#8221; alerts.<\/li>\n<\/ul>\n<p><strong>Pro Tip:<\/strong> Submit a reference likeness package with three clear face images and one voice sample to each platform&#8217;s creator verification portal. This package trains their detection systems to recognize your specific likeness.<\/p>\n<p><strong>Common Pitfall:<\/strong> Assuming platform detection operates automatically. Most platforms require opt-in and a verified reference sample before detection works accurately.<\/p>\n<h3>Step 6: Monitor and File DMCA Takedowns with Ready-Made Templates<\/h3>\n<p>Creators need an ongoing monitoring routine for likeness misuse. Set up Google Alerts for your creator name, character name, and any distinctive visual identifiers. Use reverse image search tools such as Google Lens, TinEye, and PimEyes each week. <a href=\"https:\/\/mcbrayerfirm.com\/blogs-intellectual-property-blog,how-athletes-can-protect-their-nil-online\" target=\"_blank\" rel=\"noindex nofollow\">A structured notice-and-takedown strategy includes monitoring social media and marketplaces, sending targeted reports with URLs and screenshots, tracking repeat offenders, and escalating to cease-and-desist letters when platforms fail to act.<\/a><\/p>\n<p>Use this DMCA takedown template for platform submission:<\/p>\n<blockquote>\n<p>I am the rights holder of the content located at [YOUR URL]. The infringing content located at [INFRINGING URL] reproduces my protected likeness\/character without authorization. I have a good faith belief this use is not authorized. Under penalty of perjury, the information in this notice is accurate. Signature: [Your Name], [Date].<\/p>\n<p>File notices with the platform&#8217;s registered DMCA agent. The current list appears in the <a href=\"https:\/\/www.copyright.gov\/dmca-directory\/\" target=\"_blank\" rel=\"noindex nofollow\">U.S. Copyright Office DMCA Agent Directory.<\/a> For NO FAKES Act violations, <a href=\"https:\/\/manatt.com\/insights\/newsletters\/client-alert\/congress-reintroduces-the-no-fakes-act-what-s-new-in-the-2026-bill\" target=\"_blank\" rel=\"noindex nofollow\">the 2026 bill introduces a counter-notification procedure modeled on the DMCA, with platforms required to restore content no sooner than 14 days after a compliant counter-notification unless the complainant files suit.<\/a><\/p>\n<p><strong>Pro Tip:<\/strong> Screenshot and archive every infringing instance before filing. Platforms sometimes remove content before you can document it, which weakens any later escalation.<\/p>\n<p><strong>Common Pitfall:<\/strong> Filing DMCA notices for pure likeness misuse when no copyrighted asset exists. <a href=\"https:\/\/mcbrayerfirm.com\/blogs-intellectual-property-blog,how-athletes-can-protect-their-nil-online\" target=\"_blank\" rel=\"noindex nofollow\">For pure NIL misuse without copyright, a rights-of-publicity or impersonation report usually works better than a DMCA notice.<\/a><\/p>\n<h3>Step 7: Lock Likeness at the Point of Creation Inside Sozee<\/h3>\n<p>The first six steps react to exposure after it happens. Sozee&#8217;s Cast workflow adds a proactive layer that locks likeness before a single frame goes live.<\/p>\n<p>Upload three photos and Sozee reconstructs your likeness with hyper-realistic accuracy. You see the same face and body in every frame, every set, and every week. No training, no waiting, and no technical setup are required. Alternatively, build an entirely original AI character from scratch using the AI Character Builder. Specify origin, ethnicity, skin, eyes, hair, physique, and any distinctive detail that must appear in every generation. That character has never existed anywhere else and cannot be accidentally exposed because no source person exists to scrape.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/sozee.ai\/wp-content\/uploads\/2025\/11\/Sozee-60-Seconds-To-Generate-Content-White.gif\" alt=\"GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background<\/em><\/figcaption><\/figure>\n<p>Photo Control then locks five dimensions: Setting, Outfit, Shot style, Expression, and Object. Every output becomes a deliberate decision instead of a dice roll. Reusable environments, outfit libraries, and object libraries turn every asset you build into owned IP that stays consistent enough to assert and defend. Sozee&#8217;s privacy principle keeps your likeness model private and isolated so it never trains any other system.<\/p>\n<p><strong>Pro Tip:<\/strong> Use Photo Shoot to generate a locked, coherent set of up to ten images from one frame. Consistent sets are far easier to assert ownership over than scattered one-off generations.<\/p>\n<p><strong>Common Pitfall:<\/strong> Building a character in a general-purpose AI tool that uses your outputs for model improvement. Read each platform&#8217;s training data policy before you upload a single reference photo.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Use Sozee now to lock your likeness before your next post goes live.<\/strong><\/a><\/p>\n<h2>Protecting Your AI-Generated Characters with Sozee<\/h2>\n<p>Beyond personal likeness reconstruction, the Cast workflow also supports building entirely original characters from scratch. The AI Character Builder generates a face that has never existed, consistent from the first frame, with no source photos required. Because the character originates inside Sozee&#8217;s isolated environment, no external reference exists to scrape and no model trained on your uploads can be accessed elsewhere.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1762997925636-7453a7a8b2ad.png\" alt=\"Sozee AI Platform\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Sozee AI Platform<\/em><\/figcaption><\/figure>\n<p>Reusable environments built from up to four reference shots, outfit libraries, and object libraries turn every element of a shoot into an asset you own and reuse. A bedroom built once becomes a location you shoot in for a year. An outfit assembled once appears consistently across every campaign. This level of consistency transforms generated images into defensible brand IP, because ownership claims require demonstrable, repeatable identity, and Sozee&#8217;s locked likeness delivers that identity.<\/p>\n<p>For agencies managing multiple creators, Teams and isolated workspaces give each client their own characters, vault, and connected accounts under one login. Likeness data stays isolated between clients, which prevents cross-contamination.<\/p>\n<h2>Success Metrics: Results Creators See in 90 Days<\/h2>\n<p>Creators who implement all seven steps see measurable results within a single quarter. Content output accelerates because locked likeness removes re-roll cycles, so a month of consistent, brand-ready content comes from a single afternoon&#8217;s shoot setup. Takedown response times drop because documented provenance through C2PA manifests, IPTC metadata, and timestamped Sozee vault records gives platforms the evidence they need to act quickly. Zero likeness complaints within 90 days becomes normal, not because bad actors vanish, but because the three-layer system catches and resolves incidents before they grow into brand damage.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Start with Sozee today and build a protected character in under five minutes.<\/strong><\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How can I protect my likeness from AI?<\/h3>\n<p>Effective protection uses three simultaneous layers plus a creation layer. The legal layer covers written right-of-publicity assertions on every platform, AI training restrictions in every contract, and active monitoring for violations using reverse image search and Google Alerts. The technical layer covers C2PA Content Credentials and perceptual watermarks on every published file, along with robots.txt blocks for known AI crawlers. The platform layer covers likeness detection tools on YouTube, Instagram, and Fanvue, supported by reference images in each platform&#8217;s creator verification system. The most effective fourth layer locks likeness at creation inside a tool like Sozee so every output is provably yours from the first frame.<\/p>\n<h3>Is it illegal to use someone&#39;s likeness with AI?<\/h3>\n<p>In most U.S. jurisdictions, unauthorized AI use of someone\u2019s likeness now carries significant and growing legal consequences. The NO FAKES Act, advanced by the Senate Judiciary Committee in June 2026, creates a federal property right in every individual&#8217;s voice and visual likeness that applies to unauthorized AI-generated replicas. The TAKE IT DOWN Act, signed May 2025, makes non-consensual intimate AI imagery a federal crime. At the state level, Tennessee&#8217;s ELVIS Act, Washington&#8217;s 2026 amendment to RCW 63.60, New York&#8217;s expanded Civil Rights Law \u00a7 50-f, and statutes in 44 other states provide additional civil and criminal remedies. Internationally, the EU AI Act&#8217;s Article 50 transparency requirements became enforceable on August 2, 2026. Unauthorized commercial use of a person\u2019s AI-generated likeness now triggers exposure across multiple overlapping legal frameworks at once.<\/p>\n<h3>What is the correct way to protect AI-generated content?<\/h3>\n<p>Creators should combine four elements in sequence. First, embed C2PA Content Credentials at export to create a cryptographically signed provenance record tied to the specific file. Second, add a perceptual watermark with a tool such as Google SynthID, which survives platform re-encoding that strips C2PA metadata. Third, publish explicit copyright and AI-use restriction notices in both the file&#8217;s IPTC metadata and the post caption. Fourth, include training data restriction clauses in every contract that governs the content&#8217;s use. No single method works on its own, because C2PA is stripped by social platforms, watermarks can face adversarial attacks, and notices without contracts cannot override agreed terms.<\/p>\n<h3>What is the NO FAKES Act and how does it affect creators?<\/h3>\n<p>The NO FAKES Act, introduced earlier this year, creates a federal, licensable property right in every individual&#8217;s voice and visual likeness. It makes unauthorized AI-generated digital replicas actionable in federal court, whether the victim is a public figure or a private individual. For creators, this provides an offensive tool and a defensive obligation. Offensively, it gives you a federal cause of action against anyone who generates an unauthorized AI replica of your likeness for commercial purposes, with a DMCA-style notice-and-takedown process built in. Defensively, it requires that your own AI-generated characters do not replicate real people\u2019s likenesses without authorization, or you face the same liability. The bill also includes a counter-notification procedure, so if your content is wrongly taken down, you can contest it with a notarized counter-notification and the platform may restore it after 14 days unless the complainant files suit.<\/p>\n<h3>Does Sozee protect my likeness from being used to train other AI models?<\/h3>\n<p>Yes. As noted in Step 7, Sozee maintains strict isolation of your likeness data, and it never uses your model to train Sozee&#8217;s own systems or any third-party models. This architecture differs from general-purpose AI tools that treat uploaded images as training material. When you cast a character in Sozee using three photos, that reconstruction lives only inside your account. For creators who want zero source-photo exposure, Sozee&#8217;s AI Character Builder generates an entirely original character with no real-person reference at all, which means a face that has never existed anywhere and no external data to scrape. Combined with the seven-step legal and technical checklist above, this structure gives creators one of the most complete likeness protection setups currently available on any AI content platform.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Protect your likeness with Sozee&#8217;s isolated character system \u2014 sign up now.<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Protect your likeness and AI content with legal, technical, and platform strategies. Sozee locks your AI character from frame one \u2014 start free today.<\/p>\n","protected":false},"author":2,"featured_media":3476,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[40],"class_list":["post-3477","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-legal-safety","tag-likeness-rights"],"_links":{"self":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/3477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/comments?post=3477"}],"version-history":[{"count":0,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/3477\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media\/3476"}],"wp:attachment":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media?parent=3477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/categories?post=3477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/tags?post=3477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}