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.
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.