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Create governance-site/wiki/hf-trust-safety-justification.md

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governance-site/wiki/hf-trust-safety-justification.md CHANGED
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- # Hugging Face Trust & Safety Justification
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- **Federal FOIA Intelligence Search (FFIS)**
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- ---
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-
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- ## Model Classification
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-
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- FFIS is a **non-model, non-generative application**.
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-
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- AI usage is:
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- - Optional
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- - User-initiated
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- - Formatting-only
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-
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- ---
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-
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- ## Safety Scope
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-
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- FFIS:
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- - Uses public FOIA reading rooms only
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- - Does not scrape or ingest private data
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- - Does not profile individuals
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- - Does not generate intelligence assessments
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  ---
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- ## Prohibited Capabilities (Explicitly Disabled)
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-
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- - Vector similarity search (Phase-4 FAISS)
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- - Surveillance
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- - Predictive analytics
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- - Law enforcement targeting
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- - Facial recognition
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- - Behavioral inference
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  ---
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- ## Data Handling
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-
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- - No persistent storage
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- - No user uploads
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- - No private datasets
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- - No third-party data brokers
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  ---
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- ## Transparency & Governance
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-
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- - Public governance site
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- - Public disclosures
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- - Cryptographic hashes
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- - AI disclosure footers
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  ---
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- ## Risk Assessment
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-
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- | Risk | Mitigation |
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- |----|----|
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- | Misuse | Hard governance flags |
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- | Over-reliance | Disclaimers |
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- | Privacy | Public-only sources |
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- | Legal misuse | No filing integration |
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  ---
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  ## Conclusion
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-
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- FFIS complies with Hugging Face Trust & Safety requirements for:
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- - Transparency
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- - Safety
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- - Non-harm
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- - Governance
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- - Responsible AI use
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-
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- ---
 
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+ # Hugging Face Trust & Safety Justification
 
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+ ## System Classification
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+ Public-record aggregation tool
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+ No private data ingestion
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+ No model training
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+ No surveillance capability
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ ## Content Sources
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+ ✔ Public FOIA electronic reading rooms
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+ ✔ Government-owned domains only
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+ No scraping behind authentication
 
 
 
 
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  ---
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+ ## AI Risk Mitigation
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+ - AI disabled by default where feasible
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+ - Formatting-only AI usage
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+ - Explicit opt-in controls
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+ - Hard feature flags enforced in code
 
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  ---
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+ ## Abuse Prevention
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+ - No bulk downloading automation
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+ - No scraping circumvention
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+ - No identity inference
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+ - No profiling or targeting
 
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  ---
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+ ## Transparency Measures
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+ - Cryptographic provenance headers
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+ - Public governance documentation
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+ - Explicit disclaimers in UI and PDFs
 
 
 
 
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  ---
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  ## Conclusion
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+ This system aligns with HF Trust & Safety policies for:
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+ Transparency
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+ ✔ Non-harmful use
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+ Public data only
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+ ✔ Human-initiated actions