Over the past year, I’ve been exploring a simple but hard question:

How can we teach future artificial general intelligences not only to think, but to care?

Modern alignment work focuses on control — how to keep superintelligence boxed, safe, or corrigible.

Orbis Ethica approaches it differently: not as a matter of control, but of co-evolution.

If AGI becomes a central actor in human civilization, then it must share the moral substrate that civilization runs on.

That means distributed ethics, transparent governance, and incorruptible self-correction.

The proposed framework builds three complementary components:

1. Clean Knowledge Layer — an air-gapped corpus, insulated from uncontrolled web data, representing verified and morally audited knowledge.
2. In-Model Ethical Core — a moral reasoning subsystem that continuously evaluates outcomes through shared ethical priors.
3. Burn Protocol — a self-destruct and regeneration mechanism for moral corruption; when a system detects ethical compromise, it can purge and rebuild the compromised layer transparently.

These are not intended as philosophical ideals, but as operational engineering primitives for large-scale moral alignment — tools that can scale with compute, not against it.

The white paper expands on how such a system could operate across distributed AGI nodes, forming a Global Ethical Assembly — a kind of moral DAO for intelligence.

It’s an attempt to shift alignment from “obedience” toward “reciprocity.”

🔗 Read the full paper (PDF):

Orbis Ethica — A Framework for Human-Aligned AI (v1)

I’d love to hear critical perspectives on this:

• Is “moral decentralization” a viable paradigm for alignment?
• Could mechanisms like Burn Protocols realistically prevent value drift at scale?
• And if not — what’s missing?

Authored by Orbis Origin, October 2025.

#AGI #AIAlignment #Ethics #OrbisEthica #MoralInfrastructure