Show HN: A Constitutional Framework for Ethical AI Decision-Making

2 points

5 months ago

I've open-sourced a framework that transforms LLMs into constitutional ethics advisors. It's designed to prevent catastrophic decisions like Volkswagen's emissions scandal or Meta's Cambridge Analytica breach.

Core idea: "Dogma in constitution, pragmatism in execution"

7 Sovereign Principles (non-negotiable boundaries)

7 Engagement Principles (adaptive execution)

Canonical prompt that makes any LLM reason within these boundaries

What makes it different:

Executable, not theoretical - Comes as a prompt you can use right now

Case-study validated - Shows how it would have prevented real disasters

AI-native - Designed for LLM integration from the start

Example: Volkswagen Emissions Scandal

What happened: €30B+ penalties, criminal charges

Framework analysis: Triggers constitutional halt (S2: Integrity violation → deception)

Result: Forces honest choice: redesign, de-rate performance, or exit market

GitHub: https://github.com/SebastFock/Sovereign-Engagement

Looking for feedback:

What other historical tech disasters should we analyze?

How can we improve the prompt engineering?

What AI ethics dilemmas should we test?

How to integrate with existing AI agent frameworks?

This isn't just theory—it's ethics as executable code.

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