diff --git a/public/locales/en/village-case-study.json b/public/locales/en/village-case-study.json index f91e1892..1473dc5c 100644 --- a/public/locales/en/village-case-study.json +++ b/public/locales/en/village-case-study.json @@ -22,7 +22,7 @@ "ai_label": "AI Model:", "ai_value": "Sovereign Llama (QLoRA fine-tuned)", "features_label": "AI Features:", - "features_value": "4 governed features live", + "features_value": "5 governed features live", "infra_label": "Infrastructure:", "infra_value": "NZ + EU (no US dependency)" } @@ -53,7 +53,7 @@ }, "flow": { "heading": "How Governance Works in Practice", - "intro": "When a member uses any AI feature, the request passes through six governance checks before a response is generated. Each check is independent and can block or modify the request.", + "intro": "When a member uses any AI feature, the request passes through seven governance checks before a response reaches them. Each check is independent and can block or modify the request.", "steps": { "1": { "title": "Member request received", @@ -76,12 +76,16 @@ "desc": "The sovereign Llama model generates a response using RAG context filtered by the member's permissions. All processing stays on-infrastructure." }, "6": { + "title": "Guardian Agents verification", + "desc": "Every factual claim in the response is checked against source material using embedding cosine similarity — mathematical measurement, not generative checking. Each claim receives a confidence badge visible to the member." + }, + "7": { "title": "Scope verification", "desc": "Is the response appropriate to what was asked? Detects scope creep and blocks responses that exceed the original request." }, - "7": { + "8": { "title": "Delivery with attribution", - "desc": "Response delivered to the member with source attribution. Every step is logged for audit." + "desc": "Response delivered to the member with confidence badges, source attribution, and full audit trail. Every step is logged." } } }, @@ -106,6 +110,13 @@ "title": "AI Memory Transparency", "benefit": "Members can see, edit, and delete what the AI \"remembers\" about them. Full audit dashboard shows every AI interaction.", "governance": "Governance: Multi-stakeholder consent required. Persistence decisions classified and auditable. Members control their own data." + }, + "guardian": { + "title": "Guardian Agents", + "badge": "NEW", + "benefit": "Every AI response is verified against source material using embedding cosine similarity — mathematical measurement, not another generative model checking the first. Each factual claim gets a confidence badge (high, medium, low, unverified) visible to the member.", + "governance": "Governance: Verification operates in a fundamentally different epistemic domain from the generation layer — avoiding common-mode failure. Moderator corrections feed back into verification thresholds. All tenant-scoped.", + "link": "Philosophical foundations →" } }, "limitations": { @@ -143,7 +154,8 @@ "• Polycentric governance can operate in production without prohibitive overhead", "• Multi-tenant isolation with per-community governance is achievable", "• Governance violations are detectable and auditable", - "• The framework learns from failures (documented incident responses)" + "• The framework learns from failures (documented incident responses)", + "• Verification without common-mode failure is achievable using mathematical similarity rather than generative checking" ] }, "does_not_support": { @@ -162,6 +174,7 @@ "visit_village": "Visit the Village →", "village_ai": "Sovereign Language Model →", "research_paper": "Research Paper →", + "guardian_paper": "Guardian Agents Philosophy →", "research_details": "Research Details →" } } diff --git a/public/village-case-study.html b/public/village-case-study.html index a5a288e0..ce61badc 100644 --- a/public/village-case-study.html +++ b/public/village-case-study.html @@ -127,7 +127,7 @@
- When a member uses any AI feature, the request passes through six governance checks before a response is generated. Each check is independent and can block or modify the request. + When a member uses any AI feature, the request passes through seven governance checks before a response reaches them. Each check is independent and can block or modify the request.
Is the response appropriate to what was asked? Detects scope creep and blocks responses that exceed the original request.
+Every factual claim in the response is checked against source material using embedding cosine similarity — mathematical measurement, not generative checking. Each claim receives a confidence badge visible to the member.
Response delivered to the member with source attribution. Every step is logged for audit.
+Is the response appropriate to what was asked? Detects scope creep and blocks responses that exceed the original request.
+Response delivered to the member with confidence badges, source attribution, and full audit trail. Every step is logged.
+ Every AI response is verified against source material using embedding cosine similarity — mathematical measurement, not another generative model checking the first. Each factual claim gets a confidence badge (high, medium, low, unverified) visible to the member. +
++ Governance: Verification operates in a fundamentally different epistemic domain from the generation layer — avoiding common-mode failure. Moderator corrections feed back into verification thresholds. All tenant-scoped. +
+ Philosophical foundations → +