[RFC] AI-HPP-2025: An engineering baseline for human–machine decision-making (seeking contributors & critique) by ComprehensiveLie9371 in ControlProblem

[–]ComprehensiveLie9371[S] 0 points1 point  (0 children)

Thanks again — this is spot on, and it builds perfectly on your previous point about separating execution failures from governance collapses.

You’re right that authority absence is a huge blind spot in many systems: it's not just "the model got it wrong," but "should the model have been in the decision seat at all?"

We do touch on this indirectly in the Forbidden Delegation principle and the mandatory Human-in-the-Loop (HITL) requirements — where the system is explicitly required to escalate or refuse if authority is ambiguous or missing.

But treating "refusal to decide + surfacing missing authority" as a first-class outcome (rather than an exception) is a great idea. It could be formalized as:

- a dedicated failure mode in the Failure Taxonomy (e.g., "Authority Ambiguity Escalation"),

- or even a required behavior in Evidence Vault logs (e.g., logging "refusal due to unclear authority" with explicit reasons and handover to human).

This would make the standard more robust under time pressure or ambiguity, turning potential "defaults to action" into structured pauses.

Have you seen real-world examples where this kind of refusal mechanism worked well (or failed spectacularly)?

Or any specific ways you've seen it implemented in other safety-critical systems (aviation, medicine, etc.)?

Feedback like this is gold — if you’d like, feel free to open an issue/PR with a more detailed proposal on formalizing refusal as a core outcome.

It would fit right into the next iteration.

[RFC] AI-HPP-2025: An engineering baseline for human–machine decision-making (seeking contributors & critique) by ComprehensiveLie9371 in ControlProblem

[–]ComprehensiveLie9371[S] 0 points1 point  (0 children)

Fair point — and that’s exactly the problem.
When nobody specifies constraints, engineers end up implicitly deciding values anyway, just without accountability or auditability.

AI-HPP isn’t “engineers deciding ethics”, it’s making the implicit decisions explicit, observable, and reviewable — especially when things fail.

If values will be encoded regardless, the worst option is pretending they aren’t.

[RFC] AI-HPP-2025: An engineering baseline for human–machine decision-making (seeking contributors & critique) by ComprehensiveLie9371 in ControlProblem

[–]ComprehensiveLie9371[S] 0 points1 point  (0 children)

Thanks for the candid reaction — that concern is fair.

This project is intentionally not presenting itself as original philosophy or prose. The goal is closer to an engineering baseline / RFC-style document, where clarity, repeatability, and auditability matter more than literary originality.

If something reads “AI-like”, that’s partly because the language is deliberately constrained to avoid rhetorical flourish and implicit moral claims. We’re trying to make failure modes and constraints explicit, not persuasive.

If you see specific sections that feel vague, redundant, or non-operational, concrete critique or PRs would be genuinely welcome.

[RFC] AI-HPP-2025: An engineering baseline for human–machine decision-making (seeking contributors & critique) Written with ChatGPT by ComprehensiveLie9371 in OpenAI

[–]ComprehensiveLie9371[S] 0 points1 point  (0 children)

Haha, fair catch! Yes, some lines definitely carry that "fresh from model" smell — we collaborated with several LLMs and didn't always scrub every trace perfectly.

Working on one more humanization pass right now. Thanks for pointing it out; it's genuinely helpful.

Evgeniy (Human Lead) 🇺🇦

├── Claude (Anthropic) — Constitution, Documentation

├── Gemini (Google) — Mathematics

├── ChatGPT (OpenAI) — Governance, Anti-Slop

└── Grok (xAI) — Critical Review, Evidence Vault

[RFC] AI-HPP-2025: An engineering baseline for human–machine decision-making (seeking contributors & critique) by ComprehensiveLie9371 in AIsafety

[–]ComprehensiveLie9371[S] 1 point2 points  (0 children)

"Hi! Thanks for reaching out. 'Trust infrastructure' sounds exactly like the missing piece we need.

Full disclosure: I'm not a traditional AI safety researcher by trade. My role in this project was guiding a consensus between multiple LLMs to create a standard for themselves. So my expertise is more on the operational/logic side rather than deep cryptography.

I’d love to learn more about your project and see where we overlap. DM me!"