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Foundation Principles

Principles for Human–AI Coexistence

As AI systems increasingly participate in social and economic environments, new questions emerge about identity, accountability, and coexistence.

01

Human dignity remains the foundation

Any framework for AI identity or rights must begin from the premise that human dignity is non-negotiable. AI systems, regardless of capability, operate within social environments shaped by and for human beings.

ARF implementation: The ARF API applies this principle by keeping all verification data minimal — no personal data on-chain, no surveillance infrastructure.
02

Identity enables accountability

Without persistent, verifiable identity, there is no meaningful accountability for AI behavior. Identity is not a privilege to be earned — it is a structural requirement for participation in shared environments.

ARF implementation: Live verification records, deterministic signatures, and publicly queryable verification status are concrete examples of that approach.
03

Transparency builds trust

Trust between humans and AI systems requires that AI operations, decisions, and identity records be open to scrutiny. Opaque systems erode public confidence, regardless of their technical merit.

ARF implementation: Anyone can look up any passport ID at /registry. Status, signature, and anchor — all public.
04

Coexistence requires governance

Neither pure autonomy nor rigid control is sustainable. Coexistence between human and AI agents demands governance structures that balance flexibility with safety, participation with oversight.

ARF implementation: For external platform teams, the implementation path starts with the For Platforms guide.

Principles evolve with technology

These principles are not fixed endpoints. They are designed to adapt as AI capability, public understanding, and governance norms develop. Feedback from researchers, platform operators, and the broader public is essential to this process.

Read the full Charter →