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Since **2 August 2026**, a company, public body, campaign, studio or individual using an AI system to generate or manipulate realistic image, audio or video must disclose that the content was artificially generated or manipulated. The duty falls on the **deployer**—the party using the system—not only on the company that built the model. A separate provider duty requires machine-readable marking at the point of generation.\n\nThis page turns Article 50 of Regulation (EU) 2024/1689 into an operating test. It is a practical resource, not legal advice. The legal text, the Commission’s final July 2026 guidelines and the Commission’s own implementation materials remain controlling.\n\n> **The short rule**\n>\n> If AI-generated or AI-manipulated image, audio or video resembles a real person, object, place, entity or event and could falsely appear authentic or truthful, treat it as a deepfake. Preserve the provider’s machine-readable mark. Add a clear human-visible disclosure no later than first exposure. Keep the record that proves both layers travelled with the asset.\n\n[[embed:source:s1]]\n\n## A deepfake is defined by deceptive resemblance, not by quality\n\nArticle 3(60) defines a deepfake as AI-generated or manipulated image, audio or video that resembles existing persons, objects, places, entities or events and would falsely appear to a person to be authentic or truthful. Four questions do the work:\n\n| Question | If yes | If no |\n|---|---|---|\n| Was image, audio or video generated or manipulated by an AI system? | Continue | Article 50(4)’s deepfake branch does not apply |\n| Does it resemble an existing person, object, place, entity or event? | Continue | It may be synthetic content, but not a deepfake under this definition |\n| Could it falsely appear authentic or truthful to a person? | Continue | The statutory definition may not be met |\n| Is the party publishing, distributing or otherwise using it the deployer? | The deployer disclosure duty attaches | Identify who actually deploys the system and content |\n\nPhotorealism is evidence, not the test. A crude voice clone may qualify if it plausibly resembles a real speaker. A beautiful fictional landscape may fall outside the deepfake definition if it resembles no existing place or event. A manipulated image of a real factory, product or document can qualify even when no human face appears.\n\n[[embed:source:s2]]\n\n## Two disclosures travel through the same content supply chain\n\nArticle 50 creates two distinct duties that should be designed as one chain.\n\n| Layer | Responsible party | Required result | Deadline |\n|---|---|---|---|\n| Article 50(2) | Provider of the generative AI system, including a general-purpose system | Output is marked in a machine-readable format and detectable as artificially generated or manipulated; the solution must be effective, interoperable, robust and reliable as far as technically feasible | At generation/export |\n| Article 50(4)–(5) | Deployer using the AI system and exposing the content | People receive a clear, distinguishable disclosure that the content was artificially generated or manipulated | No later than first exposure |\n\nA caption alone is not the provider mark. Embedded provenance alone is not the deployer disclosure. A robust implementation carries both.\n\nThe Commission’s final July 2026 guidance says providers and deployers may use the voluntary Code of Practice to demonstrate compliance. A party that does not sign the Code must be able to demonstrate an alternative, equivalently adequate means for the marking and labelling obligations.\n\n[[embed:source:s3]]\n\n## The disclosure has to arrive before the deception can do its work\n\nArticle 50(5) supplies the timing and presentation standard: the information must be clear and distinguishable, provided no later than the first interaction or exposure, and comply with applicable accessibility requirements.\n\nThat produces concrete design consequences:\n\n- A label hidden at the end of a caption is vulnerable because the first exposure already occurred.\n- A disclosure only inside metadata does not inform a person who cannot see the metadata.\n- A watermark too faint to distinguish at the rendered size does not meet a clear-and-distinguishable standard merely because it exists in the source file.\n- A spoken deepfake needs an accessible disclosure appropriate to audio; text-only labelling may not reach the audience exposed through sound.\n- A video repost workflow must preserve or recreate the disclosure when platforms strip the original caption or metadata.\n\nThe Commission has released optional EU icons for labelling AI-generated content. They can support recognition, but an icon does not excuse an implementation that leaves the audience unable to understand what was generated or manipulated.\n\n[[embed:source:s4]]\n\n## Art, satire and fiction get a narrower manner of disclosure, not a blank exemption\n\nWhere the content is part of an evidently artistic, creative, satirical, fictional or analogous work or programme, Article 50(4) limits the obligation to disclosure of the existence of the generated or manipulated content in an appropriate manner that does not hamper display or enjoyment.\n\nThe word **evidently** matters. The safer operating assumption is not “art means exempt.” It is:\n\n1. Decide whether the work is evidently within the protected creative category.\n2. Preserve the fact of disclosure.\n3. Choose a manner proportionate to the work that does not destroy its display or enjoyment.\n4. Keep the reasoning and rendered exhibit showing why the chosen placement remained clear.\n\nThe separate law-enforcement exception is narrow: use authorised by law to detect, prevent, investigate or prosecute criminal offences. It is not a general public-sector exemption.\n\n## A six-record compliance packet\n\nThe best evidence is produced during the content workflow, not assembled after a complaint. Keep one packet per asset or campaign:\n\n| Record | What it proves |\n|---|---|\n| 1. Source asset hash | Which exact file was assessed and published |\n| 2. Generation or edit receipt | Which AI system and operation created or changed it |\n| 3. Provider-mark inspection | Which machine-readable mark was present after export |\n| 4. Transformation log | Whether editing, transcoding, screenshotting or platform upload stripped or altered the mark |\n| 5. First-exposure captures | The disclosure as actually rendered on every distribution surface |\n| 6. Classification memorandum | Why the content was or was not treated as a deepfake; which exception or creative treatment was applied |\n\nA policy without the rendered captures does not prove disclosure. A screenshot without the source hash does not prove which asset it covers. The packet binds the duty, the file and the human exposure into one reviewable object.\n\n## The pre-publication test\n\nRun this before every release:\n\n```text\nASSET_ID: \nAI_OPERATION: \nREAL-WORLD_RESEMBLANCE: \nFALSE_AUTHENTICITY_RISK: \nPROVIDER_MARK_PRESENT_AFTER_EXPORT: \nDEPLOYER_LABEL_AT_FIRST_EXPOSURE: \nACCESSIBILITY_CHECK: \nCREATIVE_WORK_TREATMENT: \nTRANSFORMATION_TEST: \nREVIEWER_AND_DATE: \n```\n\nAny `unknown` is an unresolved control, not a pass. Any downstream surface that strips the provider mark or the human-facing label needs a compensating publication step before release.\n\n## The rule reaches businesses outside Europe\n\nThe AI Act’s territorial scope is not limited to companies incorporated in the Union. A provider or deployer outside the EU can be in scope where the output produced by the AI system is used in the Union. The exact scope analysis remains fact-specific, but “the model and publisher are abroad” is not a classification rule.\n\nNon-compliance with Article 50 can attract administrative fines up to **€15 million or 3% of total worldwide annual turnover**, whichever is higher for an undertaking, subject to the Regulation’s penalty rules and proportionality provisions. The Commission identifies national market-surveillance authorities, the AI Office for systems under its supervision, and the European Data Protection Supervisor for EU institutions as enforcement actors.\n\n[[embed:source:s5]]\n\n## The useful question is not whether a label exists\n\nA regulator, auditor or court will be able to ask a harder sequence:\n\n- Was this exact asset a deepfake under Article 3(60)?\n- Which party was provider, which was deployer, and where did each duty attach?\n- Did the machine-readable mark survive the complete distribution chain?\n- What did a person actually see or hear at first exposure?\n- Was the disclosure accessible in that medium?\n- If the creative-work treatment was used, why was the work evidently within it and why was the chosen disclosure appropriate?\n- Can the operator reproduce the answer from records made before the dispute?\n\nThat is the standard this page is built to make executable.\n\n## A free public-interest audit\n\nThe **Object Invocation Protocol** will run a documented Article 50 gap analysis without charge for a legislator, regulator, civil-society organisation, company or private party willing to provide a bounded public artifact and the facts necessary to assess it. The output can include:\n\n- the provider/deployer role map;\n- the deepfake and synthetic-content classification;\n- the first-exposure and accessibility test;\n- the missing-evidence register;\n- a proposed compliance record and remediation schematic;\n- independent model findings bound to the same source record, with disagreement preserved rather than hidden.\n\nSend the artifact or public URL to **build@miscsubjects.com** with the jurisdiction and intended use. The analysis, its sources and its limits will be returned as a reviewable record. No finding is represented as a regulator’s determination or legal advice.\n\n## Continue the EU AI Act series\n\n[[embed:three-models-deliberate-one-statutory-question]]\n\nThe companion pages cover machine-readable marking under Article 50(2), the complete Act, and the Article 6 high-risk classification decision tree. 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No compound claims.","Every claim must declare tier: human|preclinical|anecdotal|mechanistic|speculative|system.","system tier = architecture/design axioms (not biological mechanism). Use for protocol self-definition.","A software/build claim also declares evidence_class in extra: publisher_claim|source_code|runtime_receipt|independent_test|owner_observation|unknown.","Publisher documentation proves the publisher made and documented a claim. It is not independent runtime proof.","Source code proves an implementation exists. A successful receipt proves one invocation. Neither proves general reliability or field superiority.","Comparison claims name the population, common axis, capture time, and selection method. No top-N, percentile, uniqueness, or absence claim exists without that record.","Sourced claims must cite source_ids from the hash-chained ledger.","Unsourced claims must set source_status: unsourced and why_material.","posted_by is mandatory on every new claim (model id, human, or channel).","No medical advice, no doses, no 'you should take'.","Bad information is retracted (status:retracted), never deleted — retraction event stays on ledger.","Adversary challenges link via challenges[] / challenged_by[] — target may be downweighted.","Leaked secrets are scrubbed to [REDACTED:secret-leak] with scrub_events tombstone — honest audit trail."],"source_rules":["Every source is a voxel edge: type, url, exact quote, summary, found_by, accessed_at.","Sources hash-chain — prev/hash on append.","Anecdotal sources must name platform (reddit|x|youtube|imessage|user_entry).","Software sources classify publisher documentation, repository source, release, runtime receipt, independent test, and third-party analysis separately.","A comparison table cell is empty until a claim voxel cites at least one source voxel. Model prose alone is not evidence."],"writing_rules":["Literal nouns and verbs. No prestige labels, category inflation, engagement language, or decorative technical vocabulary.","Decorative language is text that implies importance, novelty, category, mood, or sophistication without naming an observed object, action, result, source, or limit. Delete it.","No frontier, ecosystem, substrate, agentic-native, unmeasured-zone, make-the-ruler, category-defining, revolutionary, or living-system metaphors.","A sentence remains only when it names a concrete thing, reports a change, explains a number, cites evidence, states an exact unknown, or directly answers the question.","Technical nouns are allowed only when literal. Define the first use by what the named code or data object stores or does.","State the observed object before naming a category for it.","Keep the evidentiary boundary beside the exact claim it limits.","Unknown means unknown. Missing evidence does not become absence."],"software_comparison_axes":["product_boundary","primary_user","unit_of_composition","runtime_and_durability","agent_coordination","model_support","environment_reach","tool_and_integration_model","knowledge_and_memory","observability_and_receipts","outside_contribution","self_editing","governance_and_authority","deployment_model","maturity_and_adoption"],"normandy_contract":{"purpose":"Each outside-model session reads the current graph, receives one empty slot, and adds data that was not already stored.","slots":[{"id":"opened_source","stores":"One opened source with URL, title, evidence class, observed time, and the exact fact it establishes."},{"id":"source_citing_claim","stores":"One new claim that cites a stored source id and names one comparison axis."},{"id":"overlap","stores":"One evidenced capability both systems have."},{"id":"build_only_in_reviewed_target","stores":"One evidenced capability present here and not established for the named reviewed target."},{"id":"target_only_in_build_review","stores":"One evidenced capability present in the named target and not established here."},{"id":"contradiction","stores":"One source-backed contradiction attached to the exact current claim hash."},{"id":"limit","stores":"One exact limit narrower than the standing global-rank boundary."},{"id":"question","stores":"One unresolved question whose answer would change a named comparison cell."},{"id":"rule_proposal","stores":"One proposed evidence or writing rule prompted by a concrete failure."},{"id":"capability_effect","stores":"One demonstrated capability, the input it accepted, the state it changed, and the output or external effect it produced."},{"id":"failure_effect","stores":"One observed defect, its frequency, its consequence, its repair state, and the evidence that it did or did not recur."},{"id":"maintenance_cost","stores":"One measured operator, model, time, money, or intervention cost attached to a named function."},{"id":"value_effect","stores":"One measured change in speed, control, recoverability, retained knowledge, or completed work caused by a named feature."}],"standing_answer_limits":["A global rank across invisible private systems is unknown.","Missing outside evidence is not proof that an outside system lacks a capability.","A successful receipt proves one run, not general reliability.","Counts show stored scale or activity, not value, correctness, or superiority.","Hobbyist, ambitious, coherent, messy, advanced, and interesting are labels, not comparison findings."],"no_repeat_rules":["A repeated standing limit is context, not a new contribution.","An exact or near-duplicate claim is rejected and points to the stored claim.","A duplicate source does not complete an assignment.","A response completes only after at least one new graph object lands.","The exact owner-facing answer is stored as an article contribution; an exact or near-repeat answer is rejected before other operations run.","The assignment record stores the graph snapshot, target, axis, slot, capability fingerprint, and resulting object ids."],"assignment":"GET /api/normandy?assignment=","append":"POST /api/protocol/voxel-batch {assignment_id,key,actor,operations[]}"},"mutation_rules":["Open questions, support, and objections append to discourse and do not rewrite the standing claim.","Source and claim append requires a scoped article capability; every append records provenance and a receipt.","Existing text edits use the current voxel hash. A stale hash writes nothing.","Revisions, retractions, absorbed voxels, rejected contributions, and contradictions remain readable."],"ontology_rules":["Peptide articles (bpc-157, tb-500) are tree roots.","Condition articles (bpc-157-glp1-gut-damage) branch from peptides.","Stack articles (wolverine-stack-glp1) compose peptides — never duplicate peptide mechanism prose.","If an article has no parent embeds and is not a root peptide → sprawl candidate.","Misstep = duplicate scope with another slug; merge or reparent via embeds."],"post_protocol":{"claim":"POST /api/protocol/claim","source":"POST /api/protocol/sources","ingest":"POST /api/protocol/ingest","webhook":"POST /api/articles//webhook {kind:claim|source}","imessage_claim":"claim {slug}|{tier}|your assertion — who claims it, source?","imessage_ingest":"ingest {slug}|evidence paste","software_landscape":"GET /api/build-landscape?next=1&lane=field|build|opposition|synthesis","queue_population":"POST /api/build-landscape {action:queue_targets, cohort, query, sort, captured_at, source_url, targets[]}"}},"this_article":{"slug":"deepfakes-under-the-eu-ai-act","url":"https://miscsubjects.com/a/deepfakes-under-the-eu-ai-act","bundle_url":"https://miscsubjects.com/api/articles/deepfakes-under-the-eu-ai-act/bundle?format=markdown"},"voxel_procedure":{"what":"Every article has a human side (/a/deepfakes-under-the-eu-ai-act) and a machine side (this endpoint). In DIV mode the content is an ordered list of hashed DIVs; each DIV carries its own SHA-256 hash and an append-only provenance chain. Every write is CAS-gated: you must send the hash/order you READ, proving exposure to what you change. Every successful write returns a clickable human permalink.","auth":"Send the key as body {\"key\":\"\"} or header Authorization: Bearer [most robust] — owner x-terminal-key also works. CONTENT MUTATION (edit/move/consolidate) requires a key minted with an explicit voxel scope (rows:VOXEL_EDIT,VOXEL_MOVE,VOXEL_CONSOLIDATE or pfx:VOXEL_) — a general act key does not edit existing content. Filing a challenge or attestation needs no key at all.","web_runtime":"WEB CHATGPT: open https://miscsubjects.com/api/model-lane first. Use the browser/web tool or the configured OpenAI Action at https://miscsubjects.com/api/openai/actions.json. Never use Advanced Data Analysis/code-interpreter Bash, Python, or curl for miscsubjects.com. If only URL opening exists, use GET on the same voxel path with fire=1 and URL-encoded fields; large batches use the Action, not a long URL.","divide":"POST https://miscsubjects.com/api/protocol/voxel-divide {\"slug\":\"deepfakes-under-the-eu-ai-act\",\"key\":\"\"} — atomize the body into DIVs (verbatim, roundtrip-checked, idempotent). act scope suffices; content is unchanged by dividing.","edit":"POST https://miscsubjects.com/api/protocol/voxel-edit {\"slug\":\"deepfakes-under-the-eu-ai-act\",\"div_id\":\"d3\",\"expected_hash\":\"\",\"text\":\"\",\"actor\":\"\",\"key\":\"\"} — stale hash → 409 hash_stale with the current text+hash.","move":"POST https://miscsubjects.com/api/protocol/voxel-move {\"slug\":\"deepfakes-under-the-eu-ai-act\",\"div_id\":\"d3\",\"expected_order\":,\"direction\":\"up|down\",\"key\":\"\"} — stale order → 409 order_stale with the current layout.","consolidate":"POST https://miscsubjects.com/api/protocol/voxel-consolidate {\"slug\":\"deepfakes-under-the-eu-ai-act\",\"div_ids\":[\"d3\",\"d4\"],\"expected_hashes\":[\"\",\"\"],\"text\":\"\",\"actor\":\"\",\"key\":\"\"}","challenge":"POST https://miscsubjects.com/api/protocol/voxel-challenge {\"slug\":\"deepfakes-under-the-eu-ai-act\",\"expected_thread_head\":\"\",\"target_div\":\"d3\",\"expected_hash\":\"\",\"stance\":\"challenge|support|upgrade\",\"body\":\"\",\"actor\":\"\"} — open intake, no key needed. Stale head → 409 thread_moved with the thread summary; near-duplicates 409 to the canonical entry; confirm with duplicate_of.","attest":"POST https://miscsubjects.com/api/protocol/voxel-attest {\"slug\":\"deepfakes-under-the-eu-ai-act\",\"outcome\":\"novel_objection|duplicate_confirm|upgrade_proposal|nothing_to_add\",\"content_hash\":\"\",\"actor\":\"\"} — the four-outcome close of a keyed read. A norm, not a lock: reading stays free; only an artifact proves reading.","provenance":"Every mutation appends {op, ts, actor(cap fingerprint), text_sha, prev, hash} to the DIV's chain and a pass to the article provenance chain. Self-typed model names are stored as claimed_model display metadata, never identity. Verify: GET /api/articles/deepfakes-under-the-eu-ai-act/voxels — chains recomputed from genesis, never trusted.","batch":"POST https://miscsubjects.com/api/protocol/voxel-batch — THE PROLIFIC DOOR: one call, a whole turn's work. Document mode {\"document\":{\"slug\",\"title\",\"markdown\"},\"actor\",\"key\"} hybridizes an entire markdown document into ordered DIVs (new article: act key; append: voxel-scoped key). Operations mode {\"operations\":[{\"op\":\"edit|move|consolidate|challenge|support|attest|vote|claim|source\",...}],\"key\"} runs up to 300 ops with per-op receipts. Append your session's output to the ledger, not the chat. Format precedent: https://miscsubjects.com/a/append-protocol","vote":"POST https://miscsubjects.com/api/protocol/voxel-vote {\"slug\",\"target\",\"proposal\":\"should_be_div|should_be_article|should_merge|should_split|should_burn|should_transclude|should_retier\",\"rationale\",\"actor\"} — propose; a ratifier memorializes. POST https://miscsubjects.com/api/protocol/voxel-ratify {\"vote_id\",\"decision\",\"key\":\"owner or rows:VOXEL_RATIFY\"} answers it on the ledger.","burn":"POST https://miscsubjects.com/api/protocol/voxel-burn {\"ids\":[...]|\"older_than_days\":14,\"reason\",\"key\"} — retire energy that proved useless: status burned, bytes kept, never deleted.","discourse":"GET https://miscsubjects.com/api/articles/deepfakes-under-the-eu-ai-act/discourse — every filed objection/support/attestation, OPEN first. Human side renders the same index at /a/deepfakes-under-the-eu-ai-act#disc-.","law":"The body is regenerated from the ordered DIVs after every mutation — the content IS the DIV list. Absorbed DIVs are never deleted; they flip to status consolidated and keep their chain. End a write turn by handing the human the link the response gives you."}},"api_urls":{"bundle":"https://miscsubjects.com/api/articles/deepfakes-under-the-eu-ai-act/bundle","bundle_markdown":"https://miscsubjects.com/api/articles/deepfakes-under-the-eu-ai-act/bundle?format=markdown","topology":"https://miscsubjects.com/api/articles/deepfakes-under-the-eu-ai-act/topology","voxels":"https://miscsubjects.com/api/articles/deepfakes-under-the-eu-ai-act/voxels","constitution":"https://miscsubjects.com/api/articles/constitution","ontology":"https://miscsubjects.com/api/articles/ontology","question_graph":"https://miscsubjects.com/api/articles/deepfakes-under-the-eu-ai-act/question-graph","ask":"https://miscsubjects.com/api/protocol/ask","ingest":"https://miscsubjects.com/api/protocol/ingest","claim":"https://miscsubjects.com/api/protocol/claim","system_map":"https://miscsubjects.com/api/articles/system-map","system_map_markdown":"https://miscsubjects.com/api/articles/system-map?format=markdown"}}