System Governance Lab
System Governance Lab

Nine Ways to Cross

Imagine a city where every vehicle is autonomous. The question isn't whether they can drive — it's how they coordinate when objectives conflict and the rules haven't been written yet.

"Every protocol embeds a philosophy. Every optimisation function inherits an ethics."

What this is: You will design governance rules for autonomous vehicles at an intersection — seven operational decisions about rules, fairness, authority, and coordination. Your choices create a unique system that is stress-tested live with emergencies, traffic surges, bad actors, and sensor failures. Then you discover which of nine philosophical traditions your design most structurally resembles — and can redesign to explore different trade-offs. The point is not to learn philosophy. The point is to see the consequences of your design choices, and to discover that every governance decision you make — in vehicles, in AI, in your organisation — carries philosophical commitments whether you intended them or not.
The Nine Traditions — A Structural Framework
Columns: How is order governed? Rows: What is the moral agent?

Phase 1 · System Design

Design the Coordination Protocol

Seven operational decisions. Your choices create a unique governance system — not a pre-set philosophy. For each dimension, select a position on the scale. Click any option to see what it means in practice and what trade-off it creates. Where your group disagrees is where the interesting design tensions live.

Your System Under Stress

Running your actual governance configuration. Choose which stress events to inject, then observe how your design handles pressure, disruption, and defection.

Stress Events

Select the scenarios to inject during the simulation:

Performance

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Throughput
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Avg km/h
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Max Wait
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Incidents

System Assessment

Events

Select stresses & launch

Wait-Time Variance

Phase 4 · Comparative Stress Test

Nine Traditions, One Intersection

Identical conditions including bad actor injection. Click "▼ Assessment" for five-dimension profiles.

Phase 5 · Transfer to Practice

From System Design to AI Governance

The design choices you just made map directly onto governance paradigms for AI systems. Each approach creates specific vulnerabilities and strengths that you can now recognise in your own organisational practice.

Introduction