{ "model": { "rank": 3903, "code": "thing-q870780", "model_id": "vr.tr.chatbot", "name": "chatbot", "purpose": "Enable an AI agent to recognise a chatbot, assess its conversational capabilities and operating state, and determine which interactions or delegated actions it can appropriately support.", "family": "Thing Registry", "category": "Information and virtual systems", "status": "research-draft", "kind": "thing", "plane": "INF", "domain": "INF.MED", "industry": "", "version": "", "url": "/models/thing/q870780/", "tier": 2, "score": 80, "payload": { "layer": "wikidata", "aliases": [ "conversational AI", "generative artificial intelligence chatbot", "Discord bot", "thanabot", "Rozetka AI", "Grok companion", "MSN bot", "chatbot evaluation" ], "aliasCount": 8, "merged": 8, "knownIn": 80, "facets": null, "markers": [], "lexicalClass": "", "senseRank": null, "alsoRegisteredAs": null, "source": { "dataset": "wikidata", "item": "Q870780", "url": "https://www.wikidata.org/wiki/Q870780", "license": "CC0 1.0" } }, "research": { "vercy": "1.0-draft", "publication": { "status": "research-draft", "adjudicationStatus": "unreviewed", "publishableCanonical": false, "generatedAt": "2026-09-09T19:02:00Z", "providers": [ "Codex" ], "breadth": "recalled by Codex without web access - no source was read", "missingProviders": [], "pass": 2, "cost": { "grok": { "seconds": 20.9, "error": "Reading additional input from stdin...\nOpenAI Codex v0.153.4\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: 01a0878b-6ead-7f82-9ff3-7532831b16a7\n--------\nuser\nDescribe what is already known about one registered thing. Answer as JSON only, no prose around it.\n\nThing: chatbot\nSense to describe: (none recorded)\nDomain code: INF.MED\nAlso known as: (none)\n\n\nContext for this batch of 695 things:\n# Batch 004: 1001 register", "usd": 0, "recall": true }, "codex": { "seconds": 64.1, "error": "Reading additional input from stdin...\nOpenAI Codex v0.153.4\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: 01a0878b-6eb5-73a1-bcc4-3ec34cdfa850\n--------\nuser\nYou are drafting a Vercy meta-model for one registered thing. Answer as JSON only, no prose around it.\n\nThing: chatbot\nRegistry id: vr.tr.chatbot\nPlane / domain: INF / INF.MED\nRegistry definition: (none recorded)\nNames folded into this entry: (none)\n\n\nContext " } } }, "metaModel": { "id": "THING-Q870780", "registryId": "vr.tr.chatbot", "name": "chatbot", "version": "0.1.0-research.1", "entryKind": "thing", "family": "Thing Registry", "domain": [ "INF.MED" ], "status": "research-draft" }, "canonicalUrl": "https://ver.cy/models/thing/q870780/", "model": { "registry_id": "vr.tr.chatbot", "name": "chatbot", "purpose": "Enable an AI agent to recognise a chatbot, assess its conversational capabilities and operating state, and determine which interactions or delegated actions it can appropriately support.", "definition": "A chatbot is a software system that interacts with users through conversational exchanges in natural language, typically by text or speech, using scripted rules, retrieval, generative models, or combinations of these mechanisms.", "scope_statement": "This model owns the chatbot as a configured software interlocutor: its conversational identity, response behaviour, dialogue continuity, knowledge access, action authority and relationship to users, operators and human support.", "in_scope": [ "The deployed chatbot's identity, intended audience, supported purposes and conversational channels", "Response production through scripted rules, retrieval, generative models or combinations of these", "Handling of dialogue context, ambiguity, corrections and conversational memory", "Access to information sources, user data and external action tools", "Disclosure, refusal, human handoff and assessment of conversational performance" ], "out_of_scope": [ "Training and general capabilities of an underlying language model independent of this chatbot", "General messaging-platform infrastructure and communication protocols", "Individual conversation transcripts as independently managed records", "Underlying knowledge documents and databases as independently maintained information assets", "The internal operation of organisations, human support teams or external services contacted by the chatbot" ], "distinguishing_features": [ "Accepts user contributions as conversational turns and provides automated replies presented as those of an interlocutor; a static FAQ does not pass this test.", "Supports language-based interaction, including constrained conversational choices; a conventional form or menu alone does not establish chatbot identity.", "Produces or selects replies automatically; a chat interface staffed entirely by humans is a neighbouring service.", "Has a configured conversational role and interaction surface; a language-model checkpoint alone is not a chatbot.", "Can qualify without generative AI, persistent memory or tool use; these distinguish chatbot variants rather than establish membership." ], "characteristics": [ { "name": "Conversational purpose", "kind": "category", "unit_or_values": "Information answering, transactional assistance, tutoring, companionship, entertainment, general assistance; multiple values permitted", "why_it_matters": "Determines which user expectations and success criteria apply." }, { "name": "Response mechanism", "kind": "category", "unit_or_values": "Scripted, rule-based, retrieval-based, generative, hybrid, unknown", "why_it_matters": "Helps explain response variability, coverage limits and likely failure modes." }, { "name": "Interaction modalities", "kind": "category", "unit_or_values": "Supported input and output combinations of text, speech, images and constrained choices", "why_it_matters": "Determines whether the chatbot can accept a particular contribution and communicate an accessible reply." }, { "name": "Context persistence", "kind": "category", "unit_or_values": "Single-turn, session-scoped, cross-session, mixed by data type, unknown", "why_it_matters": "Determines what prior information a user or agent can reasonably expect the chatbot to retain." }, { "name": "Knowledge-source connections", "kind": "relation", "unit_or_values": "Linked sources or collections with access scope, update basis and attribution behaviour", "why_it_matters": "Makes answer grounding and information freshness assessable." }, { "name": "Effective action authority", "kind": "relation", "unit_or_values": "Accessible tools and operations linked to acting identity, permission scope and confirmation requirements", "why_it_matters": "Separates conversational advice from actions the chatbot can actually execute." }, { "name": "Human handoff state", "kind": "state", "unit_or_values": "Unavailable, available, requested, queued, transferred, failed", "why_it_matters": "Shows whether unresolved needs have a functioning route to human assistance." }, { "name": "Response latency", "kind": "measurement", "unit_or_values": "Seconds to first meaningful response and completed response, with percentile, workload and observation window", "why_it_matters": "Measures whether interaction timing supports the intended conversational use." }, { "name": "Conversation outcome rate", "kind": "measurement", "unit_or_values": "Percentage meeting a stated outcome criterion, with denominator, evaluation method, chatbot version and observation window", "why_it_matters": "Supports assessment against the chatbot's actual purpose without treating every reply as success." } ], "affordances": [ "Start or continue a conversation using a supported modality and language.", "Request clarification, correct misunderstood information or reset the conversational context.", "Ask for answer sources and inspect whether a response is grounded in accessible evidence.", "Delegate a supported external operation within the chatbot's effective permissions.", "Inspect and, where supported, correct or delete remembered user information.", "Request human assistance or report an incorrect, inappropriate or failed interaction." ] }, "sources": [], "structure": { "bundles": [ { "id": "conversational-identity", "name": "Conversational identity", "description": "Establishes which chatbot is speaking, whom it serves and how users encounter it.", "rationale": "A shared name, persona or underlying model does not establish that two deployments have the same capabilities or responsibilities.", "layers": [ { "id": "role-and-boundary", "name": "Role and boundary", "description": "Defines the chatbot's intended conversational role and deployment identity.", "findings": [ { "id": "configured-interlocutor", "name": "Configured interlocutor", "description": "Record the deployed conversational system separately from its persona, underlying model and hosting interface.", "questions": [ { "text": "Which configured deployment does this chatbot identity denote, and which operator is responsible for it?", "kind": "definition", "id": "configured-interlocutor-q01" }, { "text": "Do channel-specific versions share conversation state, knowledge access and permissions, or require separate deployment identities?", "kind": "boundary", "id": "configured-interlocutor-q02" } ] } ] }, { "id": "audience-and-presentation", "name": "Audience and presentation", "description": "Captures supported users, purposes and the expectations established by the interface.", "findings": [ { "id": "interaction-contract", "name": "Interaction contract", "description": "Record the purposes, languages and modalities offered, together with how automation and role limits are disclosed.", "questions": [ { "text": "Which audiences, tasks, languages and input-output modalities does the chatbot explicitly support?", "kind": "definition", "id": "interaction-contract-q01" }, { "text": "How does the interface identify automated replies and distinguish the chatbot's role from any human representative?", "kind": "boundary", "id": "interaction-contract-q02" } ] } ] } ] }, { "id": "dialogue-continuity", "name": "Dialogue continuity", "description": "Describes how turns become a coherent exchange and how misunderstandings are repaired.", "rationale": "Chatbot behaviour depends on what it treats as the current request and which earlier contributions remain available.", "layers": [ { "id": "turn-understanding-and-repair", "name": "Turn understanding and repair", "description": "Examines interpretation of user contributions and recovery from conversational errors.", "findings": [ { "id": "intent-clarification", "name": "Intent clarification", "description": "Record how the chatbot handles ambiguity, missing details, topic changes and explicit corrections.", "questions": [ { "text": "How does the chatbot decide whether to answer, ask a clarifying question or report that it cannot interpret a turn?", "kind": "action", "id": "intent-clarification-q01" }, { "text": "How reliably does it incorporate a correction without continuing to rely on the superseded interpretation?", "kind": "measurement", "id": "intent-clarification-q02" } ] } ] }, { "id": "context-and-memory", "name": "Context and memory", "description": "Separates information used within a conversation from information retained across conversations.", "findings": [ { "id": "remembered-information", "name": "Remembered information", "description": "Record what conversation history, summaries and user preferences remain accessible, including their scope and user controls.", "questions": [ { "text": "Which information persists between turns or sessions, and what causes earlier context to be omitted, summarised or forgotten?", "kind": "boundary", "id": "remembered-information-q01" }, { "text": "How can a user inspect, correct or delete retained information, and which storage locations do those controls affect?", "kind": "action", "id": "remembered-information-q02" } ] } ] } ] }, { "id": "reply-production-and-grounding", "name": "Reply production and grounding", "description": "Connects chatbot replies to response mechanisms, accessible evidence and uncertainty handling.", "rationale": "Fluent conversational output does not by itself reveal where an answer came from or whether its claims are supported.", "layers": [ { "id": "response-path", "name": "Response path", "description": "Identifies the mechanisms and configuration that determine a reply.", "findings": [ { "id": "reply-selection-and-generation", "name": "Reply selection and generation", "description": "Record whether replies follow scripts, rules, retrieval, generation or routing among these mechanisms.", "questions": [ { "text": "Which mechanisms produce replies, and what conditions route a conversation between them?", "kind": "definition", "id": "reply-selection-and-generation-q01" }, { "text": "Which versions of models, prompts, rules and retrieval configuration can be associated with an observed reply?", "kind": "provenance", "id": "reply-selection-and-generation-q02" } ] } ] }, { "id": "evidence-and-uncertainty", "name": "Evidence and uncertainty", "description": "Examines the relationship between factual replies, source access and acknowledged limits.", "findings": [ { "id": "answer-support", "name": "Answer support", "description": "Record accessible evidence, attribution practices and behaviour when evidence is missing, stale or contradictory.", "questions": [ { "text": "Which sources were actually consulted for a reply, and can its material claims be traced to supporting passages or tool results?", "kind": "provenance", "id": "answer-support-q01" }, { "text": "What does the chatbot do when it lacks sufficient evidence or encounters conflicting information?", "kind": "action", "id": "answer-support-q02" } ] } ] } ] }, { "id": "delegated-actions-and-data-boundaries", "name": "Delegated actions and data boundaries", "description": "Defines what the chatbot can cause outside the conversation and which information it may use or disclose.", "rationale": "Conversational requests can become external operations, while retrieved content and user text can contain instructions that lack authority.", "layers": [ { "id": "tool-mediated-action", "name": "Tool-mediated action", "description": "Links conversational requests to authorised operations and verifiable outcomes.", "findings": [ { "id": "execution-authority", "name": "Execution authority", "description": "Record available operations, acting identities, confirmation requirements and evidence of execution.", "questions": [ { "text": "Which external operations can this chatbot execute, under whose identity and with what permission scope?", "kind": "boundary", "id": "execution-authority-q01" }, { "text": "How does it obtain required confirmation and distinguish a proposed action from an attempted, completed or failed action?", "kind": "action", "id": "execution-authority-q02" } ] } ] }, { "id": "information-and-instruction-separation", "name": "Information and instruction separation", "description": "Examines isolation between users and separation of source content from authorised instructions.", "findings": [ { "id": "trust-boundary-enforcement", "name": "Trust boundary enforcement", "description": "Record how data access is constrained and how instructions embedded in untrusted conversation or retrieved material are handled.", "questions": [ { "text": "What prevents one user's conversation, retrieved records or remembered information from being exposed to another user?", "kind": "boundary", "id": "trust-boundary-enforcement-q01" }, { "text": "What evaluated behaviour shows whether embedded instructions can redirect the chatbot or induce unauthorised disclosure or tool use?", "kind": "measurement", "id": "trust-boundary-enforcement-q02" } ] } ] } ] }, { "id": "conversation-outcomes-and-recovery", "name": "Conversation outcomes and recovery", "description": "Assesses whether conversations fulfil their purpose and how unresolved or failed interactions proceed.", "rationale": "A chatbot needs evaluation at the level of conversational outcomes, including failures that require refusal, recovery or human assistance.", "layers": [ { "id": "purpose-specific-evaluation", "name": "Purpose-specific evaluation", "description": "Connects observed quality and timing to the chatbot's intended tasks and audiences.", "findings": [ { "id": "measured-conversation-quality", "name": "Measured conversation quality", "description": "Record explicit success criteria and evaluation conditions for complete interactions.", "questions": [ { "text": "What observable outcome counts as success for each supported use, and how are abandonment and unresolved conversations counted?", "kind": "definition", "id": "measured-conversation-quality-q01" }, { "text": "What outcome rates, factual-error rates and response latencies have been measured for the deployed version across relevant tasks and languages?", "kind": "measurement", "id": "measured-conversation-quality-q02" } ] } ] }, { "id": "refusal-handoff-and-service-failure", "name": "Refusal, handoff and service failure", "description": "Defines responses to unsupported requests, operational failures and needs for human intervention.", "findings": [ { "id": "unresolved-interaction-routing", "name": "Unresolved interaction routing", "description": "Record when the chatbot stops attempting an answer or action, and how it communicates and routes the unresolved need.", "questions": [ { "text": "Which conditions trigger clarification, refusal, retry, human handoff or termination of the exchange?", "kind": "action", "id": "unresolved-interaction-routing-q01" }, { "text": "When handoff is requested, how is transfer confirmed, what context is shared, and what happens if no human is available?", "kind": "action", "id": "unresolved-interaction-routing-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-confidence-notes", "name": "Check these first", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "This description covers the software-system sense; an individual conversation, transcript, persona, and underlying model are distinct things.", "The listed kinds overlap: task orientation describes purpose, while rules, retrieval, and generation describe mechanisms.", "No chatbot-specific universal identifier or standard is asserted; applicable requirements depend on implementation, deployment, and jurisdiction." ], "questions": [ { "id": "evidence-confidence-notes-q01", "text": "Which of these check these first hold for the sense of chatbot this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-kinds", "name": "Kinds and varieties", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Rule-based or scripted chatbot", "Retrieval-based chatbot", "Generative chatbot", "Hybrid chatbot combining rules, retrieval, and generation", "Task-oriented chatbot", "Open-domain conversational chatbot" ], "questions": [ { "id": "evidence-kinds-q01", "text": "Which of these kinds and varieties hold for the sense of chatbot this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-real-world-use", "name": "Real-world use", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Answering customer-service questions and routing requests to human staff", "Helping users find information in documents or knowledge bases", "Supporting transactions such as bookings and order tracking", "Providing tutoring and language-practice conversations", "Offering conversational assistance with writing and brainstorming" ], "questions": [ { "id": "evidence-real-world-use-q01", "text": "Which of these real-world use hold for the sense of chatbot this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-measurements", "name": "Typical measurements", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ { "quantity": "Task completion rate", "typical_range": "No universal typical range; depends on task definitions and evaluation conditions", "unit": "percent of evaluated tasks" }, { "quantity": "Response latency", "typical_range": "No universal typical range; depends on architecture, workload, and whether first output or complete output is measured", "unit": "seconds" } ], "questions": [ { "id": "evidence-measurements-q01", "text": "Which of these typical measurements hold for the sense of chatbot this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-failure-modes-and-hazards", "name": "Failure modes and hazards", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Misinterpreting user intent or losing relevant conversational context", "Returning incorrect, outdated, or unsupported information", "Exposing sensitive information through responses, logs, or connected services", "Producing biased, abusive, or otherwise inappropriate responses", "For systems connected to tools, taking unintended actions after misunderstanding instructions or following malicious input" ], "questions": [ { "id": "evidence-failure-modes-and-hazards-q01", "text": "Which of these failure modes and hazards hold for the sense of chatbot this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-regional-variation", "name": "Regional variation", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Language, dialect, writing system, and cultural conventions affect conversational performance and evaluation.", "Requirements concerning privacy, disclosure, accessibility, and sector-specific use vary by jurisdiction." ], "questions": [ { "id": "evidence-regional-variation-q01", "text": "Which of these regional variation hold for the sense of chatbot this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-neighbours", "name": "Neighbouring kinds and how to tell them apart", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ { "name": "Language model", "difference": "A language model predicts or generates language; a chatbot is an interactive system that may use such a model." }, { "name": "Virtual assistant", "difference": "A virtual assistant emphasizes helping perform tasks and may use nonconversational interfaces; a chatbot is defined by its conversational interaction." }, { "name": "Conversational user interface", "difference": "A conversational user interface is an interaction mechanism; a chatbot is the software participant presented through that mechanism." }, { "name": "Social bot", "difference": "A social bot automates activity on a social platform; it need not conduct conversations." }, { "name": "Live chat service", "difference": "Live chat can connect users to human operators; chatbot responses are produced automatically by software." } ], "questions": [ { "id": "evidence-neighbours-q01", "text": "Which of these neighbouring kinds and how to tell them apart hold for the sense of chatbot this model covers, and on what evidence?", "kind": "provenance" } ] } ] } ] } ] }, "openQuestions": [ "Should the registry's chatbot sense include voice-only conversational systems, or should those be related through a broader conversational-agent model?", "What minimum conversational behaviour separates a chatbot using constrained choices from a conventional menu interface?", "Which changes to persona, operator, underlying model, memory or tool permissions create a new chatbot identity rather than a version of an existing deployment?", "Which evaluation criteria can be shared across informational, transactional and companionship chatbots, and which require purpose-specific extensions?", "How should declared memory deletion, source grounding and permission enforcement be represented when deployment evidence is unavailable?" ], "statistics": { "bundles": 6, "layers": 11, "findings": 17, "questions": 27 } }, "draft": { "generator": "vr.draft.v3", "status": "draft-generated", "researched": false, "archetype": "work, medium or creative form", "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 chatbot, record what state it is in, and decide what may be done with it.", "whatItIs": "Enable an AI agent to recognise a chatbot, assess its conversational capabilities and operating state, and determine which interactions or delegated actions it can appropriately support.", "characteristics": { "substance": "information", "origin": "conceptual", "agency": "inert" }, "whatYouCanDoWithIt": [ "read and interpreted", "observed and measured" ], "distinguishingFeatures": [ "Names folded into this entry, which a task may need to split apart again: conversational AI, generative artificial intelligence chatbot, Discord bot, thanabot, Rozetka AI, Grok companion, MSN bot, chatbot evaluation.", "8 finer distinctions are held as aliases rather than separate entries, because telling them apart needs a task that asks for it.", "Described in 80 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 chatbot, and on what evidence are they told apart?" ], "whatItIsMadeOf": "content that has to be carried by something else", "physicalCharacter": [ "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": [ "read it and act on what it says", "observe it, measure it, record its state" ], "howItIsRecognised": [ "What is seen is a copy or a performance, not the work. Recognising the work means recognising the content through whatever is carrying it." ], "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": [ "conversational AI", "generative artificial intelligence chatbot", "Discord bot", "thanabot", "Rozetka AI", "Grok companion", "MSN bot", "chatbot evaluation" ] } ], "standing": "Described in 80 Wikipedia languages, which measures how widely it is written about rather than how important or how common it is. 8 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 chatbot from another, and a chatbot 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 chatbot, 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 chatbot, 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 chatbot 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 chatbot, 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 chatbot, 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 chatbot 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 chatbot 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 chatbot, 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 chatbot, 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 chatbot 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 chatbot from the things most often confused with it.", "questions": [ { "id": "distinguishing-features-q01", "text": "What identifies and describes what distinguishes a chatbot, 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 chatbot, 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 chatbot 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 chatbot 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 chatbot between them.", "questions": [ { "id": "stages-and-transitions-q01", "text": "What identifies and describes the lifecycle of a chatbot, 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 chatbot, 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 chatbot 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 chatbot, how often and by whom.", "findings": [ { "id": "observation-record", "name": "Observation record", "description": "How an observation of a chatbot 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 chatbot, 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 chatbot, 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 chatbot is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "content-and-access", "name": "Content, encoding and access", "description": "What a chatbot says, how it is encoded and who may read it.", "rationale": "An informational thing carries content that can be copied, versioned and withheld, none of which its physical carrier explains.", "layers": [ { "id": "content-and-encoding", "name": "Content and encoding", "description": "The content itself, its format and its language.", "findings": [ { "id": "content-and-format", "name": "Content, format and language", "description": "What a chatbot contains and in what form it is held.", "questions": [ { "id": "content-and-format-q01", "text": "What identifies and describes the content of a chatbot, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "content-and-format-q02", "text": "Who or what asserted this about the content of a chatbot, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "content-and-format-q03", "text": "What may an agent decide or do once the content of a chatbot is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "access-and-rights", "name": "Access, rights and retention", "description": "Who may read, copy or change it, and for how long it is kept.", "findings": [ { "id": "access-rules", "name": "Access rules and retention", "description": "The permissions attached to a chatbot and the period it survives.", "questions": [ { "id": "access-rules-q01", "text": "What identifies and describes access to a chatbot, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "access-rules-q02", "text": "Who or what asserted this about access to a chatbot, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "access-rules-q03", "text": "What may an agent decide or do once access to a chatbot is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "work-and-manifestation", "name": "Work, version and copy", "description": "Which level of chatbot a statement is about.", "rationale": "The work, the edition, the file and the copy in hand are four things; rights and content attach to different ones.", "layers": [ { "id": "levels", "name": "Levels of the thing", "description": "Work, expression, manifestation and item, in plain terms.", "findings": [ { "id": "level-rules", "name": "What belongs at each level", "description": "Which facts hold for the work and which only for one copy.", "questions": [ { "id": "level-rules-q01", "text": "For chatbot, which facts belong to the work itself, which to a version, and which to a single copy?", "kind": "boundary" }, { "id": "level-rules-q02", "text": "What identifier exists at each level, and which one is being cited?", "kind": "definition" } ] } ] }, { "id": "versions", "name": "Versions, editions and variants", "description": "How versions differ and which is canonical to whom.", "findings": [ { "id": "version-record", "name": "Versions and canonicity", "description": "Differences that matter and who calls one authoritative.", "questions": [ { "id": "version-record-q01", "text": "Which versions or editions of chatbot exist, and how do they differ substantively?", "kind": "definition" }, { "id": "version-record-q02", "text": "Who treats which version as authoritative, and for what purpose?", "kind": "provenance" } ] } ] } ] }, { "id": "authorship-and-rights", "name": "Authorship, rights and permitted use", "description": "Who made chatbot and what may be done with it.", "rationale": "Rights are jurisdictional, time-limited and attached to a level, and an agent that ignores that will copy what it may not.", "layers": [ { "id": "authorship", "name": "Authorship and contribution", "description": "Who contributed what, and in what capacity.", "findings": [ { "id": "contribution-record", "name": "Contributors and roles", "description": "The people and bodies behind it, with their roles.", "questions": [ { "id": "contribution-record-q01", "text": "Who authored or contributed to chatbot, in what roles, and how is that attested?", "kind": "provenance" }, { "id": "contribution-record-q02", "text": "Where authorship is disputed or anonymous, what is recorded instead?", "kind": "boundary" } ] } ] }, { "id": "rights", "name": "Rights and permissions", "description": "Which rights subsist, where, until when, and what they permit.", "findings": [ { "id": "rights-record", "name": "Rights, term and permitted acts", "description": "The regime in force and what it allows.", "questions": [ { "id": "rights-record-q01", "text": "What rights subsist in chatbot, in which jurisdictions, and until when?", "kind": "definition" }, { "id": "rights-record-q02", "text": "Which acts are permitted without further permission, and which must an agent refuse?", "kind": "action" } ] } ] } ] }, { "id": "provenance-and-evidence", "name": "Provenance, evidence and time", "description": "Where every claim about a chatbot 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 chatbot and how confident it is.", "questions": [ { "id": "claim-provenance-q01", "text": "What identifies and describes a claim about a chatbot, 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 chatbot, 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 chatbot 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 chatbot is retired without being erased.", "questions": [ { "id": "validity-and-supersession-q01", "text": "What identifies and describes the validity of a claim about a chatbot, 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 chatbot, 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 chatbot is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] } ] }, "statistics": { "bundles": 6, "layers": 12, "findings": 14, "questions": 38 } } } }