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Pernyataan Etika

Ethics Statement 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 states the ethical commitments behind astrology analysis, AI assistance, and public communication.

Scope

User autonomy, anti-deterministic language, non-discrimination, vulnerable-user boundaries, and transparent correction practices.

Implementation Status

Version 2.0 connects ethical claims to repeatable audit data instead of leaving them as static principles.

starnum.com.tw menggabungkan pengetahuan budaya astrologi dengan teknologi AI moden. Kami sedar gabungan ini membawa tanggungjawab yang sebenar, maka kami berjanji untuk mengekalkan ketelusan, kebertanggungjawaban, serta mengutamakan kesejahteraan pengguna sepanjang proses. Pernyataan ini menerangkan pendirian etika kami dan mekanisme praktikal di sebalik analisis astrologi dibantu AI.

1. Prinsip Etika Teras

Kesejahteraan Pengguna Didahulukan (Human Wellbeing First) Tujuan pembacaan astrologi adalah untuk mendalamkan pemahaman pengguna tentang diri sendiri, bukan untuk mencetuskan kebimbangan, kebergantungan, atau ketakutan. Sebarang kandungan yang berpotensi membahayakan kesihatan mental pengguna dilarang pada peringkat teknikal dan dasar.
Ketelusan (Transparency) Setiap pembacaan astrologi menandakan dengan jelas kaedah analisis (aliran Lu Binzhao / sistem Pythagoras), tahap bantuan AI, versi pangkalan pengetahuan, dan status pengesahan. Tiada pembacaan "kotak hitam".
Pengawasan Manusia (Human Oversight) Semua keluaran yang dibantu AI disemak oleh penyelidik astrologi manusia. Sistem kualiti automatik bertindak sebagai lapisan penapisan; keputusan akhir untuk penerbitan dibuat oleh manusia.
Pengakuan Had (Acknowledging Limitations) Astrologi bukan sistem ramalan saintifik. Kami memberitahu pengguna dengan jelas: analisis astrologi menawarkan perspektif rujukan budaya dan tidak mempunyai kesan sebagai nasihat perubatan, guaman, atau kewangan.
Ketelusan Aliran (School Transparency) Zi Wei Dou Shu mempunyai beberapa aliran tafsiran. Kami secara terbuka menerima pakai aliran Lu Binzhao, dan perbezaan dengan aliran Wang Tingzhi didokumentasikan secara umum dalam artikel dan system card. Kami tidak menuntut keunggulan doktrin mana-mana aliran.

2. Komitmen Khusus Berkaitan Penggunaan AI

KomitmenPelaksanaan
AI tidak menyamar sebagai manusiaSemua kandungan yang dihasilkan dengan bantuan AI dilabelkan; halaman pembacaan bahasa mudah menerangkan aliran analisis secara eksplisit
Pengesahan silang pelbagai modelLogik astrologi disahkan secara automatik oleh 117 peraturan ketat; audit bersama rujukan tadbir urus AI berbilang penyedia menyisih bias sistemik
Perlindungan biasPandangan bukan aliran Lu Binzhao dalam pangkalan pengetahuan ditanda dengan ⚠️ untuk mengelakkan penyebaran bias aliran yang tidak diisytiharkan
Larangan kandungan menakutkanPenapis kata larangan secara automatik menyekat bahasa ancaman seperti "pasti ada bencana" atau "mesti segera mengubah nasib"
Reka bentuk melindungi privasiPenyediaan carta tidak memerlukan nama sebenar; data kelahiran kekal dalam storan terlindung; carian awam dihentikan selepas tamat tempoh atau penyingkiran pengguna
KebolehjelasanSetiap pembacaan boleh dijejaki sehingga sumber KB tertentu, menyokong pengesahan balik

3. Perkara Yang Tidak Menepati Piawaian Etika Platform Ini

4. Mekanisme Penambahbaikan Diri

Kami mengendalikan sistem penambahbaikan kualiti gelung tertutup untuk memastikan piawaian etika sentiasa dikuatkuasakan:

5. Keselarasan dengan Rangka Kerja Etika Antarabangsa

Rangka kerja etika kami merujuk kepada piawaian antarabangsa berikut:

Analisis astrologi bukan sistem AI berisiko tinggi (tidak mempengaruhi keputusan perubatan, pekerjaan, atau kredit), namun begitu kami memilih untuk tetap menerapkan piawaian ketelusan yang sama ketatnya.

6. Pendedahan Konflik Kepentingan (Conflict of Interest Disclosure)

Keterbukaan merupakan nilai teras laman ini, maka kami mendedahkan hubungan kepentingan berikut dengan jelas agar pengguna dapat menilai sendiri keobjektifan kandungan:

Pendedahan ini merujuk bahagian COI OpenAI Charter, amalan pendedahan Anthropic Long-Term Benefit Trust, dan piawaian pernyataan konflik kepentingan artikel akademik.

7. Hubungi Kami

Jika anda mempunyai soalan atau kebimbangan berkaitan pernyataan etika ini atau cara laman ini menggunakan AI, sila hubungi:

Piawaian luaran dan sumber primer

Sumber primer ini memaklumkan halaman ini. Ia ialah penanda aras, bukan sokongan pihak ketiga terhadap laman ini.

Current Machine Audit Snapshot

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

2026-07-30
Maintained
17/17
LLM loops
180/180
Governance pages
0
JSON-LD errors
32,724
KB chunks (HEALTHY)
789,031
TM entries; verified 34,781
7,976/7,976
AI answer-ready; failures 0
critical
Status page: 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

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
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 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 configured locally. signingkey=0934DFA0EDA6363A. GitHub verification pending until the public key upload and Verified badge are confirmed.

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

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