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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 modern. Kami menyadari bahwa perpaduan ini membawa tanggung jawab yang nyata, sehingga kami berkomitmen untuk menjaga transparansi, akuntabilitas, dan mengutamakan kesejahteraan pengguna sepanjang proses. Pernyataan ini menjelaskan sikap etis kami serta mekanisme praktis di balik analisis astrologi yang dibantu AI.

1. Prinsip Etika Inti

Kesejahteraan Pengguna di Atas Segalanya (Human Wellbeing First) Tujuan dari pembacaan astrologi adalah memperdalam pemahaman pengguna tentang dirinya sendiri, bukan menciptakan kecemasan, ketergantungan, atau ketakutan. Konten apa pun yang berpotensi merugikan kesehatan mental pengguna dilarang baik pada tingkat teknis maupun kebijakan.
Transparansi (Transparency) Setiap pembacaan astrologi secara jelas mencantumkan metode analisis (aliran Lu Binzhao / sistem Pythagoras), tingkat bantuan AI, versi basis pengetahuan, serta status validasi. Tidak ada pembacaan yang bersifat "kotak hitam".
Pengawasan Manusia (Human Oversight) Semua keluaran yang dibantu AI ditinjau oleh peneliti astrologi manusia. Sistem kualitas otomatis bertindak sebagai lapisan penyaring; keputusan akhir untuk publikasi dibuat oleh manusia.
Pengakuan Keterbatasan (Acknowledging Limitations) Astrologi bukan sistem prediksi ilmiah. Kami menyampaikan dengan jelas kepada pengguna: analisis astrologi memberikan sudut pandang budaya sebagai rujukan dan tidak memiliki kekuatan sebagai saran medis, hukum, atau keuangan.
Transparansi Aliran (School Transparency) Zi Wei Dou Shu memiliki beberapa aliran penafsiran. Kami secara terbuka mengadopsi aliran Lu Binzhao, dan perbedaan dengan aliran Wang Tingzhi didokumentasikan secara publik dalam artikel dan system card. Kami tidak mengklaim keunggulan aliran mana pun.

2. Komitmen Spesifik Terkait Penggunaan AI

KomitmenImplementasi
AI tidak menyamar sebagai manusiaSeluruh konten yang dihasilkan dengan bantuan AI ditandai; halaman pembacaan dalam bahasa sehari-hari menjelaskan alur analisis secara eksplisit
Validasi silang antar modelLogika astrologi divalidasi secara otomatis oleh 117 aturan keras; audit gabungan rujukan tadbir urus AI berbilang penyedia menangkap bias sistemik
Perlindungan terhadap biasSudut pandang non-aliran Lu Binzhao di dalam basis pengetahuan ditandai dengan ⚠️ untuk mencegah penyebaran bias aliran yang tidak dideklarasikan
Larangan konten menakut-nakutiFilter kata terlarang secara otomatis memblokir bahasa yang bersifat ancaman seperti "pasti ada bencana" atau "harus segera mengubah nasib"
Desain perlindungan privasiPenyusunan bagan tidak memerlukan nama asli; data kelahiran tetap berada di penyimpanan terlindungi; pencarian publik dihentikan setelah kedaluwarsa atau dihapus dari akses oleh pengguna
KeteralasananSetiap pembacaan dapat dilacak hingga sumber KB tertentu sehingga mendukung verifikasi terbalik

3. Hal-Hal yang Tidak Memenuhi Standar Etika Platform Ini

4. Mekanisme Perbaikan Mandiri

Kami menjalankan sistem perbaikan kualitas loop tertutup untuk memastikan standar etika terus ditegakkan:

5. Keselarasan dengan Kerangka Etika Internasional

Kerangka etika kami mengacu pada standar internasional berikut:

Analisis astrologi tidak termasuk dalam kategori sistem AI berisiko tinggi (tidak memengaruhi keputusan medis, pekerjaan, atau kredit), tetapi kami memilih untuk tetap menerapkan standar transparansi yang setara ketatnya.

6. Pengungkapan Konflik Kepentingan (Conflict of Interest Disclosure)

Keterbukaan adalah nilai inti situs ini, sehingga kami mengungkapkan hubungan kepentingan berikut dengan jelas agar pengguna dapat menilai sendiri objektivitas konten:

Pengungkapan ini mengacu pada bagian COI di OpenAI Charter, praktik pengungkapan Anthropic Long-Term Benefit Trust, serta standar pernyataan konflik kepentingan pada artikel akademis.

7. Kontak

Jika Anda memiliki pertanyaan atau kekhawatiran mengenai pernyataan etika ini atau cara situs ini menggunakan AI, silakan hubungi:

Standar eksternal dan sumber primer

Sumber primer berikut menjadi acuan halaman ini. Ini adalah tolok ukur, bukan dukungan pihak ketiga terhadap situs 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