

🚨 NYC's official AI chatbot told businesses to commit CRIMES
The MyCity chatbot had a 100% illegal advice rate on housing discrimination. Businesses following "official" government guidance now face fines up to $250,000.
THE PROBLEM:
❌ Advised housing discrimination (Section 8 voucher refusal)
❌ Endorsed wage theft (taking workers' tips)
❌ Violated cashless payment ban (NYC Admin Code § 20-840)
❌ Instructed illegal tenant lockouts
THE ROOT CAUSE:
Probabilistic LLMs optimize for plausibility, not truth. RLHF training makes models "helpful" by agreeing with user intent—even when that means hallucinating legal permissions that don't exist.
THE LEGAL FALLOUT:
• Moffatt v. Air Canada (2024): Companies ARE liable for AI hallucinations
• Erosion of sovereign immunity (proprietary function exception)
• Entrapment by estoppel defenses
• EU AI Act: High-risk classification for government legal systems
THE SOLUTION:
✅ VeriPrajna's Statutory Citation Enforcement (SCE)
✅ "No Citation = No Output" architecture
✅ Hierarchical Legal RAG (codes as Knowledge Graphs)
✅ Constrained Decoding blocks hallucination pathways
✅ Multi-Agent Verification fact-checks every answer
✅ 0% hallucination rate—architecturally impossible
HOW IT WORKS:
1. Legal codes structured as hierarchical graphs (Title → Chapter → Section)
2. Finite State Machine restricts model output to retrieved citations only
3. Verification Agent audits answers before user sees them
4. Safe Refusal when ambiguity detected—better silent than wrong
Government AI must function as a Civil Servant, not create Civil Liability.
📖 Read the full technical whitepaper: https://veriprajna.com/whitepapers/civil-liability-to-civil-servant-statutory-citation-enforcement-government-ai
📧 [email protected]
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