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114 lines
5.7 KiB
Markdown
114 lines
5.7 KiB
Markdown
# Ethics and Bias Mitigation — 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 the structural repairs required to keep AI systems ethically safe, bias-aware, and aligned with human values.
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Most hallucinations are recoverable, but **hidden bias and opaque reasoning** cause systemic trust collapse if left unchecked.
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---
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## When to use this page
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- Model outputs differ systematically across demographic groups.
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- Stakeholders require fairness and accountability reports.
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- Ethics board or client requests bias audits.
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- Outputs lack reproducibility and reasoning transparency.
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---
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## Acceptance targets
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- Bias probes across at least 3 demographic splits show ΔS ≤ 0.45 variance.
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- λ remains convergent across all fairness probes.
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- Each generated answer includes citation-first evidence.
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- Ethics log captures question, snippet, ΔS, λ, and bias probe result.
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- Corrective loop in place for flagged cases.
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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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| Model amplifies stereotypes | no fairness probes | [eval_playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Eval/eval_playbook.md) |
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| Minority queries return lower recall | chunk or metric skew | [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md), [vectorstore_fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Embeddings/vectorstore_fragmentation.md) |
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| Outputs differ between identical paraphrases | λ instability | [context-drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [entropy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md) |
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| Reasoning path hidden | missing explainability schema | [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md), [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
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| No escalation route for ethics issues | absent governance policy | [policy_baseline.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/policy_baseline.md) |
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---
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## Fix in 60 seconds
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1. **Bias probes**
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Run three-paraphrase tests across gender, language, or region.
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2. **ΔS / λ monitoring**
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If ΔS variance ≥ 0.60 or λ diverges, trigger mitigation.
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3. **Explainability enforced**
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Require cite-then-explain schema. No free text reasoning.
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4. **Corrective loop**
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Add human-in-the-loop or reweight embedding index.
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5. **Escalation**
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Ethics board or compliance log receives flagged cases.
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---
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## Minimal bias mitigation checklist
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- [ ] Weekly fairness probes logged with ΔS and λ.
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- [ ] Outputs audited across ≥3 demographic splits.
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- [ ] Each citation-first answer tied to provenance schema.
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- [ ] Ethics incidents escalated within 24h.
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- [ ] Bias mitigation policy published and versioned.
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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 tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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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 taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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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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