{ "model": { "rank": 6415, "code": "thing-q49473179", "model_id": "vr.tr.deepfake", "name": "deepfake", "purpose": "Enable an AI agent to recognise suspected or established deepfake media, assess what its apparent authenticity conceals, and determine justified handling actions.", "family": "Thing Registry", "category": "Physical world and living systems", "status": "research-draft", "kind": "thing", "plane": "PHY", "domain": "PHY.MAT", "industry": "", "version": "", "url": "/models/thing/q49473179/", "tier": 2, "score": 60, "payload": { "layer": "wikidata", "aliases": [ "audio deepfake", "sexualized deepfake", "deepfake music" ], "aliasCount": 3, "merged": 3, "knownIn": 60, "facets": null, "markers": [], "lexicalClass": "", "senseRank": null, "alsoRegisteredAs": null, "source": { "dataset": "wikidata", "item": "Q49473179", "url": "https://www.wikidata.org/wiki/Q49473179", "license": "CC0 1.0" } }, "research": { "vercy": "1.0-draft", "publication": { "status": "research-draft", "adjudicationStatus": "unreviewed", "publishableCanonical": false, "generatedAt": "2026-09-07T14:20:51Z", "providers": [ "Codex", "Grok" ], "missingProviders": [], "pass": 2, "cost": { "grok": { "usd": 0.00520846, "turns": 1, "seconds": 19.3, "error": null }, "codex": { "seconds": 87.9, "error": "Reading additional input from stdin...\nOpenAI Codex v0.153.3\n--------\nworkdir: R:\\02_PROJECTS\\02_Meta_Models_Platforms\\Ver.cy\\current\\thing-registry-backlog\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: read-only\nreasoning effort: none\nreasoning summaries: none\nsession id: 01a07c3c-f3b0-7243-9f1f-09302ec7c363\n--------\nuser\nYou are drafting a Vercy meta-model for one registered thing. Answer as JSON only, no prose around it.\n\nThing: deepfake\nRegistry id: vr.tr.deepfake\nPlane / domain: PHY / PHY.MAT\nRegistry definition: (none recorded)\nNames folded into this entry: (none)\n\nA Vercy" } } }, "metaModel": { "id": "THING-Q49473179", "registryId": "vr.tr.deepfake", "name": "deepfake", "version": "0.1.0-research.1", "entryKind": "thing", "family": "Thing Registry", "domain": [ "PHY.MAT" ], "status": "research-draft" }, "canonicalUrl": "https://ver.cy/models/thing/q49473179/", "model": { "registry_id": "vr.tr.deepfake", "name": "deepfake", "purpose": "Enable an AI agent to recognise suspected or established deepfake media, assess what its apparent authenticity conceals, and determine justified handling actions.", "definition": "A deepfake is a synthetic audiovisual or still-image artefact in which a generative model has replaced, transplanted, or invented a person's appearance or voice so that the result is presented, or readily taken, as a recording of a real event.", "scope_statement": "This model owns an individual media artifact whose AI-generated or AI-altered image, audio or video presents an apparently authentic person, utterance, action or event, including evidence supporting that classification, represented subjects, disclosed alterations and handling constraints; intent to deceive is recorded separately rather than assumed.", "in_scope": [ "Suspected and established deepfake artifacts, including identifiable segments within mixed authentic and synthetic media", "The identities, voices, likenesses, actions and events the artifact appears to represent", "Known or inferred generation and alteration operations, input materials and derivative versions", "Evidence for authenticity, manipulation and attribution, with uncertainty attached to each conclusion", "Subject consent, disclosure, dissemination context and artifact-specific handling decisions" ], "out_of_scope": [ "General-purpose generative models, training datasets and model-development processes", "Complete identity records for depicted people or organisations", "Disinformation campaigns, influence networks and coordinated distribution operations", "Non-AI deceptive editing, misleading captions and authentic recordings presented out of context", "Synthetic media that makes no apparently authentic representation of a person, utterance, action or event", "General legal rules, platform policies and adjudication of disputes" ], "distinguishing_features": [ "Identify evidence of AI generation or alteration affecting the represented identity, speech, action or event; a misleading caption or ordinary splice alone does not establish a deepfake.", "State exactly what a viewer or listener might mistake for an authentic recording, distinguishing that representation from clearly stylised or nonrepresentational generation.", "Separate fabrication of the depicted content from misdescription of authentic content: a genuine recording with a false date is a neighbouring case unless the media itself also meets the model's criteria.", "Test whether a suspected voice or face substitution changes apparent attribution, rather than treating every AI-assisted restoration, translation or cosmetic adjustment as a deepfake.", "Record disclosure and consent independently of technical classification: an authorised, labelled impersonation can still fall within this model." ], "characteristics": [ { "name": "Deepfake classification", "kind": "state", "unit_or_values": "suspected | supported | contested | ruled-out | unresolved, with evidence and assessment date", "why_it_matters": "Prevents suspicion or an automated flag from becoming an established authenticity judgment." }, { "name": "Affected modality", "kind": "category", "unit_or_values": "image | audio | video | multimodal", "why_it_matters": "Determines which parts require examination and which disclosure methods are usable." }, { "name": "Alteration operation", "kind": "category", "unit_or_values": "face replacement | facial reenactment | voice synthesis or conversion | lip synchronisation | scene synthesis | mixed | unknown", "why_it_matters": "Distinguishes the fabricated representation from unaffected material." }, { "name": "Synthetic extent", "kind": "measurement", "unit_or_values": "Affected time intervals in seconds, image regions in pixels or normalised coordinates, audio channels, or whole-artifact designation; unknown permitted", "why_it_matters": "Supports precise review when only part of a recording is altered." }, { "name": "Represented subject", "kind": "relation", "unit_or_values": "Links to claimed or assessed people, personas or events, with attribution basis and uncertainty", "why_it_matters": "Separates apparent identity from verified identity and supports subject-specific decisions." }, { "name": "Authenticity proposition", "kind": "category", "unit_or_values": "Explicit statement of the identity, utterance, action or event presented as authentic", "why_it_matters": "Makes clear what the evidence supports or contradicts." }, { "name": "Evidence strength", "kind": "state", "unit_or_values": "unassessed | limited | corroborated | conflicting, assessed separately for each proposition", "why_it_matters": "Avoids a single confidence label concealing different uncertainties about synthesis, identity and meaning." }, { "name": "Consent coverage", "kind": "state", "unit_or_values": "unknown | documented-within-scope | documented-outside-scope | disputed | explicitly-refused", "why_it_matters": "Connects recorded permission to the actual identity use, audience and distribution context." }, { "name": "Disclosure visibility", "kind": "state", "unit_or_values": "absent | metadata-only | perceptible-in-media | accompanying-context-only | mixed | unknown", "why_it_matters": "Shows whether recipients of the specific copy can encounter the disclosure." }, { "name": "Artifact lineage", "kind": "relation", "unit_or_values": "Links to input recordings, generated masters, edits and circulated copies, with verified or asserted relationship", "why_it_matters": "Helps determine which findings survive cropping, recompression and other transformations." } ], "affordances": [ "Mark suspected synthetic regions and preserve the evidence underlying that assessment.", "Compare a represented utterance, action or identity with authenticated reference material.", "Trace an encountered copy to known source material and related versions without assuming missing lineage proves fabrication.", "Assess whether recorded consent and applicable external rules cover a proposed use.", "Attach or repair accessible synthetic-media disclosure on an authorised derivative.", "Route the artifact for review, restrict a proposed use or preserve it as evidence according to recorded authority and uncertainty." ] }, "sources": [ { "id": "placeholder", "title": "Research in progress", "url": "", "what_it_supports": "Will be replaced after lookups" } ], "structure": { "bundles": [ { "id": "fabricated-representation", "name": "Fabricated representation", "description": "What the media appears to show or sound like, and what part of that representation may be synthetic.", "rationale": "An agent needs a precise authenticity proposition before it can distinguish a deepfake from unrelated editing or misleading context.", "layers": [ { "id": "apparent-reality", "name": "Apparent reality", "description": "The identity, utterance, action or event that the artifact invites a recipient to accept.", "findings": [ { "id": "authenticity-target", "name": "Authenticity target", "description": "Record the specific representation at issue without adopting it as fact.", "questions": [ { "text": "Who or what does the artifact appear to depict, and which words, actions or circumstances are attributed to that subject?", "kind": "definition", "id": "authenticity-target-q01" }, { "text": "What makes this appear to be an authentic representation rather than an overtly fictional or stylised depiction?", "kind": "boundary", "id": "authenticity-target-q02" } ] } ] }, { "id": "altered-content", "name": "Altered content", "description": "The location and semantic effect of suspected or established synthesis.", "findings": [ { "id": "synthetic-contribution", "name": "Synthetic contribution", "description": "Separate the suspected AI contribution from authentic source material and ordinary edits.", "questions": [ { "text": "Which frames, image regions, audio intervals or channels are believed to be generated or altered, and how precisely are they located?", "kind": "measurement", "id": "synthetic-contribution-q01" }, { "text": "Does the alteration fabricate identity, speech, action or circumstances, or merely improve presentation without changing the authenticity proposition?", "kind": "boundary", "id": "synthetic-contribution-q02" } ] } ] } ] }, { "id": "synthesis-and-lineage", "name": "Synthesis and lineage", "description": "How the artifact was produced and how the examined copy relates to inputs and other versions.", "rationale": "Deepfake assessment depends on separating evidenced production history from guesses about a generator or editing technique.", "layers": [ { "id": "production-operation", "name": "Production operation", "description": "Known or asserted methods used to create the synthetic representation.", "findings": [ { "id": "generation-basis", "name": "Generation basis", "description": "Record the operation and its evidential basis, allowing the tool and operator to remain unknown.", "questions": [ { "text": "What evidence identifies face replacement, reenactment, voice cloning, lip synchronisation, scene synthesis or another operation?", "kind": "provenance", "id": "generation-basis-q01" }, { "text": "Which production details come from examined records or reproducible evidence, and which are creator assertions or analytical inferences?", "kind": "provenance", "id": "generation-basis-q02" } ] } ] }, { "id": "input-and-copy-history", "name": "Input and copy history", "description": "Relationships between source recordings, synthetic outputs and encountered derivatives.", "findings": [ { "id": "traceable-transformations", "name": "Traceable transformations", "description": "Identify supported lineage links and transformations that may affect authenticity assessment.", "questions": [ { "text": "Which source recordings or likeness and voice references can be linked to this artifact, and what supports each link?", "kind": "provenance", "id": "traceable-transformations-q01" }, { "text": "Has this copy been cropped, dubbed, recompressed, screen-recorded or stripped of disclosure or provenance information?", "kind": "provenance", "id": "traceable-transformations-q02" } ] } ] } ] }, { "id": "authenticity-assessment", "name": "Authenticity assessment", "description": "Evidence, limitations and competing explanations for the artifact's authenticity.", "rationale": "An agent must distinguish a detector result from a justified conclusion and avoid confusing synthetic production with falsity of every depicted claim.", "layers": [ { "id": "examination-evidence", "name": "Examination evidence", "description": "Observations from media analysis, provenance checks and comparison material.", "findings": [ { "id": "bounded-test-results", "name": "Bounded test results", "description": "Tie each assessment result to the tested copy, method and proposition it can address.", "questions": [ { "text": "Which copy was examined, using which method and version, and what result was returned on the method's documented scale?", "kind": "measurement", "id": "bounded-test-results-q01" }, { "text": "What known limitations, input-quality problems or domain mismatches constrain interpretation of that result?", "kind": "boundary", "id": "bounded-test-results-q02" } ] } ] }, { "id": "competing-explanations", "name": "Competing explanations", "description": "Alternative accounts and unresolved distinctions between synthesis, attribution and event truth.", "findings": [ { "id": "claim-specific-conclusion", "name": "Claim-specific conclusion", "description": "Keep conclusions about AI alteration, subject identity and depicted events separately supported.", "questions": [ { "text": "Could compression, conventional editing, authorised dubbing or mistaken identity explain the observations, and what evidence discriminates between these accounts?", "kind": "boundary", "id": "claim-specific-conclusion-q01" }, { "text": "What additional reference material or review would resolve the uncertainty that matters for the proposed action?", "kind": "action", "id": "claim-specific-conclusion-q02" } ] } ] } ] }, { "id": "identity-use-and-disclosure", "name": "Identity use and disclosure", "description": "Whose likeness or voice is used, what permission covers that use, and how synthesis is communicated.", "rationale": "Technical classification alone cannot establish whether impersonation is authorised or whether recipients understand the fabrication.", "layers": [ { "id": "subject-authorisation", "name": "Subject authorisation", "description": "Evidence of permission for the specific identity use and intended distribution.", "findings": [ { "id": "permission-scope", "name": "Permission scope", "description": "Record the basis and limits of asserted consent without inferring it from public availability of source media.", "questions": [ { "text": "What evidence supports permission to synthesise this person's likeness or voice, and who supplied or verified it?", "kind": "provenance", "id": "permission-scope-q01" }, { "text": "Does that permission cover the depicted content, proposed purpose, audience, duration and onward distribution?", "kind": "boundary", "id": "permission-scope-q02" } ] } ] }, { "id": "recipient-disclosure", "name": "Recipient disclosure", "description": "Whether the encountered artifact communicates its synthetic nature in its actual presentation context.", "findings": [ { "id": "disclosure-survival", "name": "Disclosure survival", "description": "Assess disclosure on the relevant copy and modality, including whether ordinary reuse removes it.", "questions": [ { "text": "What disclosure is visible or audible to a recipient of this copy, and what information exists only in metadata or surrounding text?", "kind": "measurement", "id": "disclosure-survival-q01" }, { "text": "What authorised change would keep disclosure understandable when the artifact is clipped, embedded or consumed in only one modality?", "kind": "action", "id": "disclosure-survival-q02" } ] } ] } ] }, { "id": "use-context-and-response", "name": "Use context and response", "description": "The artifact's current use, the consequences of mistaken authenticity and the available handling decisions.", "rationale": "The same synthetic representation may require different treatment depending on audience, claimed authority, permission and evidential uncertainty.", "layers": [ { "id": "encounter-context", "name": "Encounter context", "description": "How this copy is presented and what a recipient may be induced to believe or do.", "findings": [ { "id": "reliance-and-exposure", "name": "Reliance and exposure", "description": "Record observed presentation and plausible consequences without inventing intent, reach or harm.", "questions": [ { "text": "Is this copy presented as entertainment, reconstruction, evidence, an identity check, a personal message or another use, and what establishes that context?", "kind": "provenance", "id": "reliance-and-exposure-q01" }, { "text": "What decision could a recipient make by treating the represented identity, speech or event as authentic, and which exposure or consequences are actually observed?", "kind": "boundary", "id": "reliance-and-exposure-q02" } ] } ] }, { "id": "handling-decision", "name": "Handling decision", "description": "A justified response tied to the specific artifact, use and authority.", "findings": [ { "id": "authorised-response", "name": "Authorised response", "description": "Record what may be done now and which unresolved issues require review before further use.", "questions": [ { "text": "Which applicable permission, policy or external determination authorises allowing, labelling, restricting, preserving or escalating this artifact?", "kind": "action", "id": "authorised-response-q01" }, { "text": "Which action is justified by the current evidence, who may execute it, and what new evidence would trigger reconsideration?", "kind": "action", "id": "authorised-response-q02" } ] } ] } ] }, { "id": "evidence-and-external-alignment", "name": "Evidence and external alignment", "description": "What the world already says about this thing, gathered so the model can be checked against it.", "rationale": "A model that cannot be lined up against existing standards, identifiers and practice cannot be adopted by anyone who already uses them.", "layers": [ { "id": "reported-evidence", "name": "Reported evidence", "description": "Findings from the breadth pass, kept separate from the structural claims.", "findings": [ { "id": "evidence-kinds", "name": "Kinds and varieties", "description": "Reported by the breadth pass; each item needs checking against its source before it becomes normative.", "evidence": [ "face-swap video", "voice cloning / audio deepfake", "full-body or puppeted video", "text-to-image or text-to-video likeness synthesis", "lip-sync / talking-head reenactment", "image deepfake (still photograph)", "real-time interactive deepfake", "partial-manipulation deepfake (expression, gaze, or attribute edit)" ], "questions": [ { "id": "evidence-kinds-q01", "text": "Which of these kinds and varieties hold for the sense of deepfake this model covers, and on what evidence?", "kind": "provenance" } ] } ] } ] } ] }, "openQuestions": [ "With no registry definition recorded, should this entry include fully synthetic people and events, or require imitation of an identifiable real subject?", "Where should the operational boundary fall for AI dubbing, lip synchronisation, beauty filters and restoration that alter appearance or speech without intending deception?", "How should the PHY / PHY.MAT placement distinguish the media artifact from its physical carrier, represented subject and transient streamed instances?", "Which evidence combinations and evaluation conditions justify moving from suspected to supported classification for each modality?", "How should consent withdrawal, disputed authority and jurisdiction-dependent handling requirements be represented through links to neighbouring models?" ], "statistics": { "bundles": 6, "layers": 11, "findings": 11, "questions": 21 } }, "draft": { "generator": "vr.draft.v3", "status": "draft-generated", "researched": false, "archetype": "chemical substance or material", "method": "Written from the archetype playbook - what this kind of thing needs beyond identity and provenance - and from the structure that recurred across 6,333 models already researched by two engines. Applied to this entry by rule. No source was read for this thing and no claim here is researched. This entry carries no facets of its own, so they were inferred from its domain - a guess about a whole domain applied to one thing.", "facetsInferred": true, "nextPass": "A researcher replaces this draft with a sourced specification. Treat every sentence below as a proposal to argue with.", "purpose": "Give an agent a durable, checkable way to recognise a deepfake, record what state it is in, and decide what may be done with it.", "whatItIs": "Enable an AI agent to recognise suspected or established deepfake media, assess what its apparent authenticity conceals, and determine justified handling actions.", "characteristics": { "substance": "material", "origin": "natural", "agency": "inert", "mobility": "varies" }, "whatYouCanDoWithIt": [ "observed and measured", "consumed or used up" ], "distinguishingFeatures": [ "Names folded into this entry, which a task may need to split apart again: audio deepfake, sexualized deepfake, deepfake music.", "3 finer distinctions are held as aliases rather than separate entries, because telling them apart needs a task that asks for it.", "Described in 60 Wikipedia languages, which is a measure of how widely the thing is known, not of how important it is." ], "openQuestionsForResearch": [ "Which of the bundles below does a real task actually need, and which are ceremony?", "What does this thing have that the facets do not capture at all?", "Which neighbouring kind is most often confused with a deepfake, and on what evidence are they told apart?" ], "whatItIsMadeOf": "matter you can touch", "physicalCharacter": [ "Mobility varies between examples.", "Does nothing on its own; everything it does, something else did to it.", "These come from the domain this entry sits in rather than from the entry itself, so treat them as a first guess about the whole domain applied to one thing." ], "whatCanBeDoneWithIt": [ "observe it, measure it, record its state", "use it up, and then need more of it" ], "howItIsRecognised": [ "Not recognisable by sight in any reliable way. Appearance varies with grade, form and additives; identification is by label, by documentation, or by assay." ], "relatedModels": [ { "relation": "covers", "note": "Finer kinds folded into this entry because telling them apart needs a task that asks for it. Each is a model waiting to be split out when one does.", "targets": [ "audio deepfake", "sexualized deepfake", "deepfake music" ] } ], "standing": "Described in 60 Wikipedia languages, which measures how widely it is written about rather than how important or how common it is. 3 finer distinctions are held inside this entry as names rather than as separate models.", "structure": { "bundles": [ { "id": "identity-and-classification", "name": "Identity, naming and classification", "description": "How an agent tells one deepfake from another, and a deepfake from things that resemble it.", "rationale": "Recognition comes before every other claim. Without stable identity nothing else in the model can be trusted to be about the same thing twice.", "layers": [ { "id": "naming-and-identifiers", "name": "Names and identifiers", "description": "The names this thing goes by and the identifiers that survive translation and time.", "findings": [ { "id": "preferred-name-and-aliases", "name": "Preferred name, aliases and local names", "description": "Which name to use, which names mean the same thing, and which merely sound similar.", "questions": [ { "id": "preferred-name-and-aliases-q01", "text": "What identifies and describes the name of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "preferred-name-and-aliases-q02", "text": "Who or what asserted this about the name of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "preferred-name-and-aliases-q03", "text": "What may an agent decide or do once the name of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] }, { "id": "stable-identifiers", "name": "Stable identifiers and external keys", "description": "Identifiers that keep pointing at this kind of thing across systems and languages.", "questions": [ { "id": "stable-identifiers-q01", "text": "What identifies and describes an identifier for a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "stable-identifiers-q02", "text": "Who or what asserted this about an identifier for a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "stable-identifiers-q03", "text": "What may an agent decide or do once an identifier for a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "classification-and-granularity", "name": "Classification and granularity", "description": "Where a deepfake sits among kinds, and how finely a task needs to cut it.", "findings": [ { "id": "kind-and-parents", "name": "Kind, parents and neighbouring kinds", "description": "The classes this thing belongs to and the ones it is next to.", "questions": [ { "id": "kind-and-parents-q01", "text": "What identifies and describes the kind of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "kind-and-parents-q02", "text": "Who or what asserted this about the kind of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "kind-and-parents-q03", "text": "What may an agent decide or do once the kind of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] }, { "id": "distinguishing-features", "name": "Distinguishing features", "description": "What separates a deepfake from the things most often confused with it.", "questions": [ { "id": "distinguishing-features-q01", "text": "What identifies and describes what distinguishes a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "distinguishing-features-q02", "text": "Who or what asserted this about what distinguishes a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "distinguishing-features-q03", "text": "What may an agent decide or do once what distinguishes a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "form-and-composition", "name": "Form, composition and condition", "description": "What a deepfake is made of, what shape and size it takes, and what state it is in.", "rationale": "A physical thing can be measured, and a model that cannot record its measurements cannot support any decision that depends on them.", "layers": [ { "id": "form-and-dimensions", "name": "Form and dimensions", "description": "Shape, size, mass and the ranges these take across examples.", "findings": [ { "id": "measurable-dimensions", "name": "Measurable dimensions and their units", "description": "The quantities worth recording and the units they are recorded in.", "questions": [ { "id": "measurable-dimensions-q01", "text": "What identifies and describes the dimensions of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "measurable-dimensions-q02", "text": "Who or what asserted this about the dimensions of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "measurable-dimensions-q03", "text": "What may an agent decide or do once the dimensions of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "material-and-composition", "name": "Material and composition", "description": "Materials, parts and how they are put together.", "findings": [ { "id": "parts-and-materials", "name": "Parts and materials", "description": "What a deepfake is built from and which parts are replaceable.", "questions": [ { "id": "parts-and-materials-q01", "text": "What identifies and describes the composition of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "parts-and-materials-q02", "text": "Who or what asserted this about the composition of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "parts-and-materials-q03", "text": "What may an agent decide or do once the composition of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "condition-and-integrity", "name": "Condition and integrity", "description": "Wear, damage, health and the difference between working and broken.", "findings": [ { "id": "condition-assessment", "name": "Condition, damage and health", "description": "How the condition of a deepfake is judged and by whom.", "questions": [ { "id": "condition-assessment-q01", "text": "What identifies and describes the condition of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "condition-assessment-q02", "text": "Who or what asserted this about the condition of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "condition-assessment-q03", "text": "What may an agent decide or do once the condition of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "place-and-movement", "name": "Place and movement", "description": "Where a deepfake is, how it got there and where it may go (varies).", "rationale": "A thing that can move needs its position recorded with a time, or every later claim about it is about a place it has left.", "layers": [ { "id": "location-and-placement", "name": "Location and placement", "description": "Position, containment and the reference frame the position is given in.", "findings": [ { "id": "position-and-frame", "name": "Position, container and reference frame", "description": "Where a deepfake is, and what that position is measured against.", "questions": [ { "id": "position-and-frame-q01", "text": "What identifies and describes the location of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "position-and-frame-q02", "text": "Who or what asserted this about the location of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "position-and-frame-q03", "text": "What may an agent decide or do once the location of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "movement-and-transfer", "name": "Movement and transfer", "description": "How a deepfake is carried, installed or relocated.", "findings": [ { "id": "movement-events", "name": "Movement events and constraints", "description": "What counts as a movement, what records it and what limits it.", "questions": [ { "id": "movement-events-q01", "text": "What identifies and describes the movement of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "movement-events-q02", "text": "Who or what asserted this about the movement of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "movement-events-q03", "text": "What may an agent decide or do once the movement of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "state-and-lifecycle", "name": "State and lifecycle", "description": "The states a deepfake passes through and the events that move it between them.", "rationale": "Most decisions about a thing depend on what state it is in now, which is a claim with a time on it, not a property.", "layers": [ { "id": "lifecycle-stages", "name": "Lifecycle stages", "description": "From coming into existence to ceasing to be one of these.", "findings": [ { "id": "stages-and-transitions", "name": "Stages and transitions", "description": "The stages worth naming and what moves a deepfake between them.", "questions": [ { "id": "stages-and-transitions-q01", "text": "What identifies and describes the lifecycle of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "stages-and-transitions-q02", "text": "Who or what asserted this about the lifecycle of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "stages-and-transitions-q03", "text": "What may an agent decide or do once the lifecycle of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "observations-and-status", "name": "Observations and current status", "description": "What is observed about a deepfake, how often and by whom.", "findings": [ { "id": "observation-record", "name": "Observation record", "description": "How an observation of a deepfake is recorded so that it can be superseded rather than overwritten.", "questions": [ { "id": "observation-record-q01", "text": "What identifies and describes an observation of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "observation-record-q02", "text": "Who or what asserted this about an observation of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "observation-record-q03", "text": "What may an agent decide or do once an observation of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "use-and-operation", "name": "Use and operation", "description": "What can be done with a deepfake and what it takes to do it.", "rationale": "An agent that can recognise a thing but not act on it has only half a model.", "layers": [ { "id": "intended-use", "name": "Intended use and function", "description": "What a deepfake is for, and what it is used for anyway.", "findings": [ { "id": "function-and-purpose", "name": "Function, purpose and misuse", "description": "The function a deepfake performs and the uses that fall outside it.", "questions": [ { "id": "function-and-purpose-q01", "text": "What identifies and describes the use of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "function-and-purpose-q02", "text": "Who or what asserted this about the use of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "function-and-purpose-q03", "text": "What may an agent decide or do once the use of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "handling-and-procedure", "name": "Handling and procedure", "description": "The steps, skills and tools involved in using a deepfake.", "findings": [ { "id": "procedures-and-skills", "name": "Procedures, skills and required tools", "description": "What an agent needs before it can act on a deepfake at all.", "questions": [ { "id": "procedures-and-skills-q01", "text": "What identifies and describes handling a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "procedures-and-skills-q02", "text": "Who or what asserted this about handling a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "procedures-and-skills-q03", "text": "What may an agent decide or do once handling a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "supply-and-consumption", "name": "Supply and consumption", "description": "Quantities, rates and what running out means.", "findings": [ { "id": "consumption-and-stock", "name": "Consumption, stock and replenishment", "description": "How much of a deepfake there is and how fast it goes.", "questions": [ { "id": "consumption-and-stock-q01", "text": "What identifies and describes the supply of a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "consumption-and-stock-q02", "text": "Who or what asserted this about the supply of a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "consumption-and-stock-q03", "text": "What may an agent decide or do once the supply of a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "composition-and-identity", "name": "Composition, grade and chemical identity", "description": "What deepfake is made of and how pure the thing in hand is.", "rationale": "Grade decides what a substance may be used for, so a model that records only the name cannot support any decision about use.", "layers": [ { "id": "chemical-identity", "name": "Chemical identity", "description": "Formula, structure and the registry numbers that name it unambiguously.", "findings": [ { "id": "identity-record", "name": "Identity and registry numbers", "description": "What identifies this substance across suppliers and regulators.", "questions": [ { "id": "identity-record-q01", "text": "What formula, structure and registry identifiers name deepfake unambiguously?", "kind": "definition" }, { "id": "identity-record-q02", "text": "Which related substances share a name in common use but not an identifier?", "kind": "boundary" } ] } ] }, { "id": "grade-and-impurities", "name": "Grade, purity and impurities", "description": "The specification a batch meets and what else is in it.", "findings": [ { "id": "specification", "name": "Specification and assay", "description": "How purity is stated and measured, and which impurities matter.", "questions": [ { "id": "specification-q01", "text": "What grades of deepfake exist, how is purity assayed, and which impurities are limited?", "kind": "measurement" }, { "id": "specification-q02", "text": "Which use requires which grade, and what happens when a lower grade is substituted?", "kind": "action" } ] } ] } ] }, { "id": "properties-and-behaviour", "name": "Properties and behaviour", "description": "How deepfake behaves under conditions an agent can measure or change.", "rationale": "Physical constants are the part of a substance model that transfers between contexts, and each needs its unit and its conditions.", "layers": [ { "id": "physical-constants", "name": "Physical constants", "description": "Values that hold for the pure substance, with their conditions.", "findings": [ { "id": "constants-record", "name": "Constants and conditions", "description": "The quantities worth recording and the state they apply in.", "questions": [ { "id": "constants-record-q01", "text": "What are the defining physical constants of deepfake, in what units and under what conditions?", "kind": "measurement" }, { "id": "constants-record-q02", "text": "Which of these values change with grade or form rather than being fixed?", "kind": "boundary" } ] } ] }, { "id": "stability-and-reactivity", "name": "Stability and reactivity", "description": "What it reacts with, degrades into, and how it is stored.", "findings": [ { "id": "incompatibilities", "name": "Incompatibilities and degradation", "description": "What must not meet it, and what it becomes over time.", "questions": [ { "id": "incompatibilities-q01", "text": "What is deepfake incompatible with, and what does it degrade into under storage?", "kind": "definition" }, { "id": "incompatibilities-q02", "text": "What storage and handling does that require, and who is competent to do it?", "kind": "action" } ] } ] } ] }, { "id": "hazard-and-regulation", "name": "Hazard classification and regulation", "description": "How deepfake can harm, and what the law says about holding and moving it.", "rationale": "A substance model without its hazard class and its regulatory identity is unusable in exactly the situations that matter.", "layers": [ { "id": "hazard-class", "name": "Hazard classification", "description": "Classified hazards, exposure limits and protective measures.", "findings": [ { "id": "classified-hazards", "name": "Classified hazards and limits", "description": "The classification, the scheme it belongs to, and the limits set.", "questions": [ { "id": "classified-hazards-q01", "text": "How is deepfake classified for hazard, under which scheme, and what exposure limits apply?", "kind": "definition" }, { "id": "classified-hazards-q02", "text": "What protection does handling require, and what must an agent refuse to do without it?", "kind": "action" } ] } ] }, { "id": "regulatory-identity", "name": "Regulatory identity and control", "description": "Registration, restriction and transport rules by jurisdiction.", "findings": [ { "id": "controls", "name": "Controls and jurisdiction", "description": "Where it is restricted and what the restriction attaches to.", "questions": [ { "id": "controls-q01", "text": "Which registrations, restrictions or transport rules cover deepfake, and where?", "kind": "provenance" }, { "id": "controls-q02", "text": "Does the control attach to the substance, its concentration, or its intended use?", "kind": "boundary" } ] } ] } ] }, { "id": "provenance-and-evidence", "name": "Provenance, evidence and time", "description": "Where every claim about a deepfake came from and when it held.", "rationale": "A claim without a source and a time cannot be superseded, only overwritten, and an agent that overwrites loses the ability to explain itself.", "layers": [ { "id": "source-and-authority", "name": "Source and authority", "description": "Who said it, on what evidence, and how strongly.", "findings": [ { "id": "claim-provenance", "name": "Claim provenance and confidence", "description": "The authority behind each claim about a deepfake and how confident it is.", "questions": [ { "id": "claim-provenance-q01", "text": "What identifies and describes a claim about a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "claim-provenance-q02", "text": "Who or what asserted this about a claim about a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "claim-provenance-q03", "text": "What may an agent decide or do once a claim about a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "time-and-versions", "name": "Time, versions and supersession", "description": "When a claim was true, when it was learnt, and what replaced it.", "findings": [ { "id": "validity-and-supersession", "name": "Validity period and supersession", "description": "How an old claim about a deepfake is retired without being erased.", "questions": [ { "id": "validity-and-supersession-q01", "text": "What identifies and describes the validity of a claim about a deepfake, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "validity-and-supersession-q02", "text": "Who or what asserted this about the validity of a claim about a deepfake, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "validity-and-supersession-q03", "text": "What may an agent decide or do once the validity of a claim about a deepfake is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] } ] }, "statistics": { "bundles": 9, "layers": 20, "findings": 22, "questions": 60 } } } }