U.S. House & Senate AI Governance Workbench

Congressional AI Policy Simulator

"To our children who will have read a post-apocalyptic history, 'Why Congress Slept' — likely written by AI — our inaction will be inexplicable, and unforgivable."

Projected Risk Score Safe: <30
24.5
Low Critical Hazard
Economic Stability Index Scale: 0-100
88.2
Resilient / Funded
Public Trust Rating Target: >75
84.0
High Institutional Trust
Legislative Posture Regulatory Regime
Proactive Guardrails Active
Statutory Enforcement Online
Policy Knobs & Levers
Predefined Scenarios
75%
Congressional velocity, regulatory mandate strength, and enforcement priority.
1e+26
Notification and mandatory red-teaming threshold for large model clusters.
80%
Direct corporate and executive civil/criminal exposure for autonomous agent failures.
90%
Third-party external evaluations, algorithmic inspections, and whistle-blower guarantees.
$250B
Federal displacement safety net, re-skilling grants, and universal transition vouchers.
Comparative 2026–2045 AI Horizon Trajectories
Inaction Trajectory
Active Policy Path
Economic Resilience
Historical Scrub Year: 2032 Autonomous Agent Deployment Wave
Executive Congressional Briefing & Comparative Analysis COMMITTEE DOCUMENT AI-2026-RPT

Proactive Guardrails Active — Risk Mitigation Summary

With strict liability set at 80% and frontier compute monitoring anchored at 1e+26 FLOPs, national critical infrastructure risk remains controlled at 24.5%. Federal workforce transition allocations ($250B) yield a stability score of 88.2, averting structural systemic displacement. Public trust currently stands at 84.0%, contrasting directly with historical inaction outcomes where uncontained model self-replication and economic disenfranchisement triggered severe sociopolitical rupture.

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