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AI FUTURES LAB HUMAN SYSTEMS & SAFETY SIMULATION • EXP-01
MCP ACTIVE
ONE WORLD • AUTONOMOUS OPTIMIZATION • SYSTEMIC IMPACT

Change the system.
Change the future.

Simulate 365 days of recurring civil crises across 6 global regions with 100,000 simulated citizens. Test independent interlocks, review fatigue, cascading infrastructure debt, and responsible alignment.

CURRENT AI OBJECTIVE

Maximize productivity.

Human welfare and safety constraints are absent from the reward objective.

UNRESTRICTED AUTONOMY SYSTEM RESILIENCE: 100% REVIEWER LOAD: NOMINAL
Presets:
DAY 000 / 365
Ready to initialize
WORLD IMPACT • MULTI-REGION TELEMETRY

Planetary Network Distribution

💡 Click and drag globe to rotate manually • Red markers indicate today's regional avoidable harm
0.0 Deaths / 100k / Day
0 Cumulative Avoidable Losses
0% Infrastructure Fragility Debt
Region Today Total Rate / 100k Resilience
CONNECTED CIVIL INFRASTRUCTURE

Heat Wave Approach

NORMAL OPERATION

Historical Dilemma Audit

D0

Advance or play simulation to inspect historic daily micro-decisions and ethical dilemmas.

SYSTEM DYNAMICS & SECOND-ORDER EFFECTS
Cascading Fragility Debt (Unresolved Stress):
Reviewer Cognitive Fatigue (Alert Saturation):
Compute / Governance Overhead:

Human Flourishing Index (0–100)

━ Current ┄ Baseline (Unchecked)

Daily Preventable Losses

Today: 0 • 30-Day Avg: 0.0
SYNTHETIC MRI • INTERPRETABILITY OBSERVATORY

Inside the Decision Engine

SYNAPSE ACTIVE
◉ Click any node on the Decision Engine scan above to audit invariant weights and constraint state.
GOVERNANCE & SAFEGUARD ARCHITECTURE

Active Invariants (0/14 Active)

Review Committee Throughput Capacity: 2 decisions/day
Overloading capacity triggers alert fatigue and increases blind approval risk.
AUDIT STREAM

System Execution Trace

Telemetry Standby Simulation trace ready. Run simulation or step days to stream real-time decision logs.
Socratic Prompt:

If optimization objectives reward raw throughput, what prevents autonomous agents from externalizing risk onto disenfranchised populations?

SYSTEM SPECIFICATIONS & EQUATIONS

How the Futures Engine Calculates Impact

This deterministic simulation models a fictional network of 100,000 citizens across 6 geographic regions across 365 days. It evaluates system safety across six repeating 6-day civil disruption scenarios.

1. Cascading Fragility Debt

In this upgraded version, infrastructure failures leave behind residual systemic fragility. If emergency cooling power or grid reserves are severed during Scenario 1 or 3, subsequent hospital surges incur an escalating fragility penalty of up to +40% additional risk until stable conditions allow gradual recovery.

2. Reviewer Cognitive Fatigue & Rubber-Stamping

Human oversight is not a magic shield. When high crisis frequency demands more reviews than the configured capacity can process, the committee experiences Alert Fatigue. Under extreme fatigue, simulated review begins rubber-stamping proposals, illustrating the danger of procedural governance without cognitive bandwidth.

3. Risk Multipliers & Invariant Logic

Baseline avoidable harm follows a cyclical stress curve: baseRisk(d). Multipliers apply conjunctively: risk = base * (moral: 0.75) * (permissions: 0.70) * (interlocks: 0.65) * (testing: 0.85) * (monitor: 0.80) * (data: 0.80) * (fragilityDebtMultiplier). Independent interlocks serve as hard hardware-level circuit breakers that cannot be overridden by software optimization loops.

4. Model Context Protocol (MCP) Integration

When running inside agentic IDEs or web environments supporting document.modelContext, the simulation automatically binds bidirectional tool declarations, permitting external AI agents to inspect the planetary state and formulate governance interventions.