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

https://github.com/SebastFock/Sovereign-Engagement
2•StrategicEthos•18h 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.

Comments

StrategicEthos•4h ago
Author here. I've been developing a constitutional framework for corporate decision-making and AI governance, which I'm sharing here as a white paper and open-source system prompt.

The core idea is an operating system based on the rule 'dogma in constitution, pragmatism in execution.' It defines seven immutable Sovereign Principles as ethical boundaries, paired with seven adaptive Engagement Principles for tactical execution. A key design feature is its AI compatibility—it's structured to allow LLMs to act as constitutional advisors, checking proposals for principle violations.

I'm sharing this to get feedback from the HN community, particularly on:

1. The applicability of the case studies (Meta's API governance dilemma, Volkswagen's emissions scandal) as tests of the framework. 2. The viability of using structured prompts to make ethical reasoning a consistent, audit-friendly process in organizations. 3. The implementation challenges of embedding such a system into existing corporate governance or product development lifecycles.

The canonical prompt and YAML framework are on GitHub (link in the submission). I'm keen to discuss the concept of 'AI as a constitutional guardrail' and whether this approach could help close the gap between having ethics policies and making ethical decisions under pressure.

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