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Política de Gobernanza de Datos de IA

Data Governance v2.0

Version 2.0 · · Governance 2.0 public evidence surface

Governance 2.0 Overview

This page is part of the starnum public Governance 2.0 surface and uses the same evidence layer as the system card, data governance, transparency report, use policy, and security policy.

Governance Summary

This page explains how data sources, knowledge-base chunks, translation memory, and public artifacts are tracked.

Scope

Knowledge-base lineage, translation memory audit counts, privacy-related processors, source hashes, and public evidence manifests.

Implementation Status

Version 2.0 connects data governance content to machine-readable manifests and verification commands.

Esta página explica específicamente: cuando usa las funciones de IA de starnum.com.tw, cómo el sistema de IA procesa sus datos de entrada.

Importante: El cálculo de cartas y el análisis en lenguaje simple son procesos diferentes El cálculo de cartas se ejecuta completamente de forma local en su navegador — no se envían datos externos. Solo cuando solicita "análisis en lenguaje simple" se transmiten datos astronómicos a la API de IA.

1. Qué Datos Se Envían a la Inferencia de IA

Tipo de Datos¿Enviado a IA?Notas
Fecha y hora de nacimiento✗ No enviadoSolo para cálculo local, no retenido
Género✗ No enviadoUsado para cálculo local, no transmitido
Nombre✗ No recopiladoEsta plataforma no recopila nombres
Datos estructurales de la carta✓ EnviadoTransmitido a Anthropic Claude API para análisis
ID de carta✗ No enviadoSolo clave de consulta interna de Supabase

2. Retención y Eliminación de Datos

Tipo de PlanPeríodo de RetenciónMétodo de Eliminación
Carta gratuitaEliminada automáticamente después de 1 mesAutomático
Pago regularEliminada automáticamente después de 3 mesesAutomático
Premium / VIPRetenida permanentementeSolicitar eliminación

3. Lo Que No Hacemos

4. Notificaciones de Actualización

Cuando esta política se actualice, lo registraremos en el Registro de Transparencia. Los cambios importantes se anunciarán 30 días antes de entrar en vigor.

Current Machine Audit Snapshot

This block uses only traceable local audit data. No unsupported metrics or model claims are added.

2026-05-26
Maintained
13/13
LLM loops
180/180
Governance pages
0
JSON-LD errors
32,690
KB chunks (HEALTHY)
529,820
TM entries; verified 93,529
7,976/7,976
AI answer-ready; failures 0
critical
Status page: 2 critical, 0 warnings

Verifiable Evidence Layer

This block is not a narrative claim. Each core assertion has a claim id, source JSON, hash, and a repeatable verification command. Public pages disclose governance evidence without exposing source code, secrets, private data, or exploitable attack details.

Claim IDVerifiable valueStatusOwnerSource and verification
claim.public-url-manifest.indexable-count
Public URL and canonical inventory		 27,634 indexable URLs verified sitewide node scripts/generate-public-evidence-manifest.js --dry
claim.trust-pages.audit-pass-rate
Trust page machine audit		 180/180 pass verified sitewide node scripts/verify-trust-pages.js --check
claim.discovery-surface.zero-errors
AI discovery surface audit		 {"errors":0,"warnings":0} verified sitewide node scripts/verify-discovery-surface.js
claim.structured-data.jsonld-errors
JSON-LD / structured data audit		 {"structured_data_invalid_files":0,"breadcrumb_count":28274,"faq_count":27506,"dataset_count":30,"article_count":27406} verified sitewide node scripts/site-machine-audit.js
claim.status.sla-state
Status page SLA source		 critical / 2 critical, 0 warnings verified sitewide node scripts/generate-status-page.js
claim.provider-alignment.openai-anthropic-gemini
OpenAI / Anthropic / Google Gemini benchmark alignment		 production evidence: claude-sonnet-4-5-20250514 verified sitewide node scripts/verify-public-evidence.js --check
claim.transparency-report.sha256
Transparency report SHA-256 anchor		 {"report":"transparency/report-2026-Q2.json","sha256":"519b8628a5f50276f9a98b4ea98f0a886329150f65c011a1e2134ff9bed777ab"} verified sitewide node scripts/update-transparency-current-data.js
claim.release-integrity.gpg-signing
GPG signing status		 GPG signing active locally; checked GitHub commit verification is valid verified sitewide gpg --list-secret-keys --keyid-format=long && git log -1 --show-signature
claim.ai-data-governance.kb-lineage
KB source-file and chunk lineage		 {"state":"HEALTHY","counts":{"source_files":3229,"chunks":32681,"chunked_source_files":3229,"excluded_source_files":0,"missing_chunk_coverage":0,"orphan_chunks":0}} verified ai-data-governance node scripts/verify-public-evidence.js --check
claim.ai-data-governance.tm-lineage
TM quality and flagged entries		 {"total_entries":529820,"counts":{"verified":93529,"template":205,"machine":436083,"flagged":3}} verified ai-data-governance node scripts/tm-quality.js --stats
claim.ai-data-governance.public-artifacts
Public evidence artifacts deployment inventory		 {"artifacts":["/data/public-evidence-manifest.json","/data/public-claim-registry.json","/data/public-verification-report.json"]} verified ai-data-governance node scripts/verify-public-evidence.js --check
public-evidence-manifest.json public-claim-registry.json public-verification-report.json public-url-manifest.json

System Card V2.0: Technical Transparency Layer

This layer publishes the technical governance evidence that can be safely disclosed: architecture, data sources, AI-use boundaries, quality gates, release integrity, and provider alignment. Source code, secrets, exploitable attack details, and private data remain out of scope.

Public architecture

Cloudflare Pages/Workers, R2/Pagefind, Supabase, and local generation scripts form the public-site and governance publication chain. Public pages disclose behavior, state, and traceable sources, not secrets or internal permissions.

AI-use disclosure

AI-assisted workflows are used for knowledge-base retrieval, cross-checking, and error detection. Governance documents are benchmarked against OpenAI, Anthropic, and Google Gemini public frameworks. Production model usage is disclosed only when code/config evidence exists.

Quality and safety gates

Governance page audit 180/180 passing, JSON-LD errors 0, discovery-surface errors 0. Status pages report critical / 2 critical, 0 warnings as-is.

Data traceability

Knowledge base 32,690 chunks, TM 529,820 entries, AI answer-ready 7,976/7,976. Public metrics trace to data/state-machine/*, data/*audit*.json, and transparency reports.

Governance areaOpenAIAnthropicGoogle GeminiStarnum implementation evidence
Model/system-card disclosureOpenAI models + safety docsClaude model docs + system/model cardsGemini model docs + safety settingssystem-card, model-card, methodology, benchmark, transparency-log
Safety evaluation and use boundariesSafety best practices / deployment checklistResponsible Scaling / safety policyGemini safety controls / policyAI safety, acceptable-use, ethics, risk-boundary copy, crawler policy audit
Data governanceData controls / privacy controlsprivacy and data handling docsGemini API data governance referencesprivacy, ai-data-governance, KB/TM source tracking, SHA-256 hashes
Monitoring and releaseproduction checklist / eval disciplinesystem-card transparency disciplinemodel/version documentation disciplinedeploy.js, status.html, SLA report, trust-pages-machine-audit, sitemap/hreflang audits

The V2.0 goal is not more claims; it separates implemented controls from planned controls. Production usage, benchmark alignment, status exceptions, GPG signing, and SLA breaches are disclosed from source data.

Release Integrity And GPG

GPG signing active. signingkey=0934DFA0EDA6363A. Checked GitHub commit verification is valid.

OpenAI / Anthropic / Google Gemini Alignment

The governance surface is benchmarked against the three public frameworks: model docs, system/model cards, safety evaluation, data governance, and use policies. This is benchmark alignment, not a claim that every provider is active in production inference. Official docs checked: 2026-05-26

ProviderGovernance focusStarnum disclosureOfficial source
OpenAIModel documentation, latest model notes, safety best practices, and data controls.No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks.https://platform.openai.com/docs/models
AnthropicClaude model documentation, system/model cards, Responsible Scaling, and safety policy.No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks.https://docs.anthropic.com/en/docs/about-claude/models
Google GeminiGemini API model documentation, safety settings, data governance, and platform policy.No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks.https://ai.google.dev/gemini-api/docs/models