AI ethics is everywhere. Execution models are nowhere. So I built one. Not a paper. Not a framework. Just JSON. And it runs. This defines whether an action is allowed before execution. Example: { "Label": "Cook Jjapagetti", "ExecutionEffect": { "Type": "Boil", "Target": "Stove" }, "Boundarie…

Model: [image] The 9-Question Protocol for Responsible AI Actions Research Author’s Note — Why This Document Exists Before giving AI higher intelligence, we built a judgment engine that teaches it one simple rule: “If you don’t know, ask.” We also fixed wha…

Interesting framing, but I’d push back gently: every GPT, every Gemini Gem, every GPT made with pre-prompting, every character in my own HF Space ( 432 — A Journey Experience ) already runs on a “boundary layer” — it’s just written in prose instead of JSON. The shape of the container doesn’t change t…

This is a really interesting direction, and I genuinely like what you’re exploring. The idea of persistent context, character-based interpretation, and especially self-conditioning over time is meaningful. It clearly tries to address a real limitation of current systems — that responses are often s…

You’re identifying an important distinction that often gets blurred in these discussions. They’re two different paradigms answering different problems. Hardcoded pre-execution is classical safety engineering applied to AI: narrow domain, deterministic validation, predictable behavior. Perfect for a…

This is a great framing, and I think your distinction is very helpful. I agree with your categorization. pre-execution validation as a form of classical safety engineering constitutional AI as a way to guide interpretation in open-ended contexts That’s a useful way to describe the landscape. Ho…

This phenomenon is already appearing across smart home systems. Very different devices — lights, heaters, gas valves, even medical equipment — are still being treated as the same “switch.” This is not just a UI issue. When a user says: → “Turn off the switches” the AI doesn’t actually know wha…

This is a fascinating and practical approach! Implementing ethical constraints directly through JSON schema definitions makes the model highly portable and easy to integrate without relying on heavy frameworks. The Boundaries and ExecutionEffect structure provides clear logic for real-time decis…

This is not intended to be perfect or final. The goal is to propose a minimal, common structure that can be discussed, tested, and applied across platforms. That’s why it’s kept in a simple JSON form not tied to any specific model, framework, or device type. The key idea is not the implementation…

AI ethics is everywhere. Execution models are nowhere. So I built one

Research

Jang-woo May 6, 2026, 6:06am 10

I reorganized and clarified the ideas from the previous discussions and reposted them here in a more structured form focused on physical AI safety, execution boundaries, and semantic ownership.

Topic		Replies	Views
Physical AI Safety: Ownership and Execution Boundaries Research	15	249	May 23, 2026
The 9-Question Protocol for Responsible AI Actions Research	0	148	February 3, 2026
Stop Turning Buttons into Switches Research	3	100	February 13, 2026
Making the Physical World Callable for AI Research	1	107	January 29, 2026
Should AI have the right to say "No" to its owner? Models	3	56	April 5, 2026

AI ethics is everywhere. Execution models are nowhere. So I built one

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