# License and Dataset Rights — Guardrails and Fix Pattern
🧭 Quick Return to Map
> 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.
This page tracks **legal and licensing risks** in AI systems.
If datasets, embeddings, or outputs rely on unverified sources, you risk compliance violations, takedowns, or IP litigation.
Use this guide to enforce clear rights boundaries across ingestion, training, and generation.
---
## When to use this page
- You do not know the license of a dataset included in your retrieval or training pipeline.
- Mixed rights (MIT, Apache, proprietary, unknown) exist in the same corpus.
- Legal review requires proof that generated answers respect dataset terms.
- Audit asks for compliance with GDPR/CCPA or publisher licensing.
---
## Acceptance targets
- 100% of datasets tagged with a license identifier.
- ≥ 95% coverage of ingestion checks include license + attribution metadata.
- ΔS stability maintained when filtering licensed vs. non-licensed subsets.
- Audit logs capture `license_id`, `rights_holder`, `expiry`.
- LLM refuses or flags outputs when license terms are violated.
---
## Common failures → exact fixes
| Symptom | Likely cause | Open this |
|---------|--------------|-----------|
| Snippets from unknown or scraped sources appear | dataset missing license metadata | [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
| Open source corpus mixes with paid corpus | no role/rights separation | [roles_and_access_rbac_abac.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/roles_and_access_rbac_abac.md) |
| Model answers cite restricted publishers | no attribution enforcement | [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) |
| Generated outputs reuse licensed patterns | prompt injection bypassing rights filter | [prompt-injection.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md) |
| Training run includes expired or revoked dataset | missing expiry validation | [policy_baseline.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/policy_baseline.md) |
---
## Fix in 60 seconds
1. **Tag every dataset**
Attach `{license_id, rights_holder, expiry, attribution_required}` at ingestion.
2. **Separate corpora**
Open source vs. proprietary vs. paid corpora must remain in distinct retrieval indices.
3. **Enforce attribution**
Require citation-first prompting for any licensed corpus.
4. **Audit pipeline**
Store logs with dataset version, license, and usage context.
5. **Expiry enforcement**
Block or purge expired corpora automatically.
---
## Minimal compliance checklist
- [ ] Every ingestion pipeline requires license metadata.
- [ ] RBAC + ABAC enforced to keep datasets separated.
- [ ] Retrieval schema logs license_id with every snippet.
- [ ] Expiry checks run nightly.
- [ ] Audit reports exportable on request.
---
### 🔗 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 + \” |
| **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 |
---
### 🧭 Explore More
| Module | Description | Link |
|-----------------------|----------------------------------------------------------|----------|
| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
---
> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
> Engineers, hackers, and open source builders who supported WFGY from day one.
> 
⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
[](https://github.com/onestardao/WFGY)
[](https://github.com/onestardao/WFGY/tree/main/OS)
[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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