# Regulatory Alignment — Guardrails and Fix Pattern

<details>
  <summary><strong>🧭 Quick Return to Map</strong></summary>

<br>

  > You are in a sub-page of **Governance**.  
  > To reorient, go back here:  
  >
  > - [**Governance** — policy enforcement and compliance controls](./README.md)  
  > - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)  
  > - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)  
  >
  > Think of this page as a desk within a ward.  
  > If you need the full triage and all prescriptions, return to the Emergency Room lobby.
</details>


This page defines how to align AI pipelines with existing **laws, sector regulations, and compliance regimes**.  
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.  

---

## When to use this page
- Your system must prove compliance with GDPR, HIPAA, CCPA, or EU AI Act.  
- Clients demand explainable outputs and data provenance.  
- Auditors request reproducibility and risk registers.  
- You operate in finance, healthcare, or government sectors with strict controls.  

---

## Acceptance targets
- 100% of data sources have a license_id and jurisdiction field.  
- Provenance chain covers ingestion → embedding → retrieval → generation.  
- Risk register includes bias, privacy, and IP risks with owner assignment.  
- Queries and outputs auditable within 5 minutes.  
- Alignment tests run weekly against updated compliance checklists.  

---

## Common failures → exact fixes

| Symptom | Likely cause | Open this |
|---------|--------------|-----------|
| 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) |
| 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) |
| 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) |
| Retrieval answers drift from contract | schema not enforced | [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
| 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) |

---

## Fix in 60 seconds

1. **Residency + anonymization**  
   Partition datasets by region. Strip identifiers.  

2. **Provenance chain**  
   Log `license_id`, `jurisdiction`, `ingest_date`, `index_hash`.  

3. **Bias + privacy probes**  
   Weekly run λ stability tests across demographic variants.  

4. **Risk register**  
   Maintain an owner, severity, and mitigation plan per risk.  

5. **Alignment replay**  
   Prove a query followed rules by replaying citations and logs.  

---

## Minimal compliance checklist

- [ ] All ingestion jobs include `license_id` and `jurisdiction`.  
- [ ] GDPR/CCPA consent tracked in logs.  
- [ ] Health/finance data use sector schemas.  
- [ ] Bias probes run weekly, logged with ΔS and λ.  
- [ ] Audit replay tested monthly with compliance team.  

---

### 🔗 Quick-Start Downloads (60 sec)

| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **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>” |
| **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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### Explore More

| Layer | Page | What it’s for |
| --- | --- | --- |
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |

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