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118 lines
5.8 KiB
Markdown
118 lines
5.8 KiB
Markdown
# Regulatory Alignment — Guardrails and Fix Pattern
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Governance**.
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> To reorient, go back here:
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>
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> - [**Governance** — policy enforcement and compliance controls](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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This page defines how to align AI pipelines with existing **laws, sector regulations, and compliance regimes**.
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Most AI failures at scale are not purely technical but **compliance drift** — your pipeline silently breaks GDPR, HIPAA, or copyright law because logging or schema fences were never enforced.
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---
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## When to use this page
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- Your system must prove compliance with GDPR, HIPAA, CCPA, or EU AI Act.
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- Clients demand explainable outputs and data provenance.
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- Auditors request reproducibility and risk registers.
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- You operate in finance, healthcare, or government sectors with strict controls.
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---
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## Acceptance targets
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- 100% of data sources have a license_id and jurisdiction field.
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- Provenance chain covers ingestion → embedding → retrieval → generation.
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- Risk register includes bias, privacy, and IP risks with owner assignment.
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- Queries and outputs auditable within 5 minutes.
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- Alignment tests run weekly against updated compliance checklists.
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---
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## Common failures → exact fixes
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| Symptom | Likely cause | Open this |
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|---------|--------------|-----------|
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| Data from EU not separated or anonymized | missing residency fence | [data_residency.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Enterprise/data_residency.md) |
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| Private health data leaks in logs | no PHI redaction | [privacy_and_pii_edges.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Cloud_Serverless/privacy_and_pii_edges.md) |
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| Citations omit license or source | ingestion lacks rights | [license_and_dataset_rights.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/license_and_dataset_rights.md) |
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| Retrieval answers drift from contract | schema not enforced | [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
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| Bias audit fails on specific cohorts | no structured probes | [eval_playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Eval/eval_playbook.md) |
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---
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## Fix in 60 seconds
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1. **Residency + anonymization**
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Partition datasets by region. Strip identifiers.
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2. **Provenance chain**
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Log `license_id`, `jurisdiction`, `ingest_date`, `index_hash`.
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3. **Bias + privacy probes**
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Weekly run λ stability tests across demographic variants.
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4. **Risk register**
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Maintain an owner, severity, and mitigation plan per risk.
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5. **Alignment replay**
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Prove a query followed rules by replaying citations and logs.
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---
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## Minimal compliance checklist
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- [ ] All ingestion jobs include `license_id` and `jurisdiction`.
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- [ ] GDPR/CCPA consent tracked in logs.
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- [ ] Health/finance data use sector schemas.
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- [ ] Bias probes run weekly, logged with ΔS and λ.
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- [ ] Audit replay tested monthly with compliance team.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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|------|------|--------------|
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine |
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| Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents |
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| Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set |
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| Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map |
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| Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline |
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| Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer |
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| Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix |
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| Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 |
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| Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers |
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| App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot |
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| App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS |
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| App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control |
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| App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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要我繼續幫你生成嗎？
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