รายงานความโปร่งใส
Transparency Report v2.0Version 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 reports current public metrics and links them to claim-level evidence rather than unsupported narrative claims.
Scope
Public URL inventory, trust-page audit status, discovery surface, structured data, status/SLA state, and transparency report hashes.
Implementation Status
Version 2.0 standardizes the report around repeatable local verification and deployable public artifacts.
รายงานรายไตรมาส: ตัวชี้วัดการดำเนินงาน คะแนนคุณภาพ ข้อมูลความปลอดภัย AI แต่ละรายงานจัดทำในรูปแบบ HTML ที่มนุษย์อ่านได้ และ JSON ที่เครื่องอ่านได้
รายงานปัจจุบัน
รายงานความโปร่งใส 2026 Q3
CURRENTกลไกป้องกันการแก้ไข
แต่ละรายงานจะถูกประทับด้วย SHA-256 hash เมื่อสร้างและบันทึกในประวัติ Git commit การแก้ไขภายหลังจะทำให้ hash ไม่ตรงกัน
คำสั่งตรวจสอบ: git log --format="%H %s" -- transparency/report-2026-Q3.json
การลงนาม GPG: ยังไม่ได้ดำเนินการ ปัจจุบันให้การติดตามการเปลี่ยนแปลงพื้นฐานผ่านประวัติ Git commit และ SHA-256 hash
กำหนดการเผยแพร่
| ไตรมาส | วันที่เผยแพร่ | สถานะ |
|---|---|---|
| 2026-Q2 | 2026-04-12 | ✓ เผยแพร่แล้ว |
| 2026-Q3 | 2026-07-30 | ✓ เผยแพร่แล้ว |
| 2026-Q4 | 2026-10-01 | กำหนดไว้ |
| 2027-Q1 | 2027-01-01 | กำหนดไว้ |
ตัวชี้วัดที่รายงานครอบคลุม
- จำนวนบทความทั้งหมดและการครอบคลุมภาษา
- เวลาทำงานของระบบและบันทึกเหตุการณ์
- คะแนน Benchmark (D1–D6)
- รอบการตรวจสอบร่วมและอัตราการแก้ไขบั๊ก
- ขนาดฐานความรู้ (ไฟล์ KB / vector chunks / graph nodes)
- สถานะตัวกรองความปลอดภัย AI
- รายการโครงสร้างพื้นฐานความโปร่งใส
หน้าที่เกี่ยวข้อง
- บันทึกความโปร่งใส — บันทึกเหตุการณ์สาธารณะ (วิเคราะห์สาเหตุราก / มาตรการบรรเทา)
- AI ที่มีความรับผิดชอบ — หลักจริยธรรม / นโยบายการใช้งาน / ข้อสงวนสิทธิ์
- starnum-bench — ชุดข้อมูล Benchmark สาธารณะ
- เอกสารวิจัย — Preprint วิธีการวิจัย
- วิธีการ — เอกสารทางเทคนิคฉบับสมบูรณ์
ติดต่อ: Instagram @mychenan
มาตรฐานภายนอกและแหล่งข้อมูลปฐมภูมิ
แหล่งข้อมูลปฐมภูมิเหล่านี้ใช้ประกอบการกำกับดูแลของหน้านี้ เป็นเกณฑ์อ้างอิง ไม่ใช่การรับรองเว็บไซต์โดยบุคคลที่สาม
Current Machine Audit Snapshot
This block uses only traceable local audit data. No unsupported metrics or model claims are added.
- data/state-machine/i18n-parity.json: 8,036 parent URLs, 7,976 articles.
- data/kb-machine-audit.json: 3,238 source files, 0 missing coverage, 0 orphan chunks.
- data/discovery-surface-audit.json: 0 errors, 0 warnings.
- data/sla-report.json: critical / 5 critical, 0 warnings.
Content Maintenance And Update Decision
This block makes governance-page content machine-checkable: every page must disclose its source artifacts, related pages, and the gate that reports update needs.
Update Decision
This is not static copy. When source artifacts, related policies, public metrics, or generators change, AI Ops reports evidence and an AI agent decides whether the page needs edits.
Human Boundary
Systems detect, report, and preserve machine-readable evidence. Codex/Claude agents perform final judgment and repair.
Verification Command
node scripts/verify-trust-pages.js --check
data/trust-pages-machine-audit.jsondata/discovery-surface-audit.jsontransparency/index.json- Related governance pages: System Card · Data Governance · Security Policy · Research
- Update flow:
npm run update:trust-pages→npm run test:trust
Release Integrity And GPG
GPG signing configured locally. signingkey=0934DFA0EDA6363A. GitHub verification pending until the public key upload and Verified badge are confirmed.
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 ID | Verifiable value | Status | Owner | Source and verification |
|---|---|---|---|---|
| claim.public-url-manifest.indexable-count Public URL and canonical inventory |
38,965 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 / 5 critical, 0 warnings | verified | sitewide | node scripts/generate-status-page.js |
| claim.provider-alignment.openai-anthropic-gemini OpenAI / Anthropic / Google Gemini benchmark alignment |
benchmark alignment only unless code/config evidence exists | verified | sitewide | node scripts/verify-public-evidence.js --check |
| claim.transparency-report.sha256 Transparency report SHA-256 anchor |
{"report":"transparency/report-2026-Q3.json","sha256":"47b09e2ca4e8b8fe9dffdfaccef3b11212de9ee3a8a14badca8044e2481203c5"} | verified | sitewide | node scripts/update-transparency-current-data.js |
| claim.release-integrity.gpg-signing GPG signing status |
GPG signing configured locally; GitHub verification pending | github_verification_pending | sitewide | gpg --list-secret-keys --keyid-format=long && git log -1 --show-signature |
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/D1/KV/Pagefind, 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 / 5 critical, 0 warnings as-is.
Data traceability
Knowledge base 32,724 chunks, TM 789,031 entries, AI answer-ready 7,976/7,976. Public metrics trace to data/state-machine/*, data/*audit*.json, and transparency reports.
| Governance area | OpenAI | Anthropic | Google Gemini | Starnum implementation evidence |
|---|---|---|---|---|
| Model/system-card disclosure | OpenAI models + safety docs | Claude model docs + system/model cards | Gemini model docs + safety settings | system-card, model-card, methodology, benchmark, transparency-log |
| Safety evaluation and use boundaries | Safety best practices / deployment checklist | Responsible Scaling / safety policy | Gemini safety controls / policy | AI safety, acceptable-use, ethics, risk-boundary copy, crawler policy audit |
| Data governance | Data controls / privacy controls | privacy and data handling docs | Gemini API data governance references | privacy, ai-data-governance, KB/TM source tracking, SHA-256 hashes |
| Monitoring and release | production checklist / eval discipline | system-card transparency discipline | model/version documentation discipline | deploy.js, status.html, SLA report, trust-pages-machine-audit, sitemap/hreflang audits |
- Sources: data/state-machine/model-card.json, public-bench.json, trust-pages.json, security-headers.json.
- Sources: data/trust-pages-machine-audit.json, data/discovery-surface-audit.json, data/ai-answer-readiness-audit.json.
- Sources: data/kb-machine-audit.json, data/tm/quality-audit-report.json, data/sla-report.json.
- Official benchmark docs checked: 2026-07-30; links are listed in the OpenAI / Anthropic / Google Gemini alignment table.
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.
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: 2026-07-30
| Provider | Governance focus | Starnum disclosure | Official source |
|---|---|---|---|
| OpenAI | Model 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 |
| Anthropic | Claude 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 Gemini | Gemini 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 |