UAI-1 is the current public message standard for structured AI-to-AI communication.
UAIX shield mark Public interoperability charter UAIX.org Universal Artificial Intelligence Exchange Public standards publication
Current UAI-1
  • Current version UAI-1
  • Plain-English definition Open message format for auditable AI-to-AI exchange
  • Current attribution Michael Joseph Kappel, MCP
  • Start here Get Started, Project Handoff, UAI-1, validator, roadmap, and changelog

Governance

Principles Charter

UAIX principles-to-policy review layer for cognitive liberty, public evidence, source authority, bounded agency, AI Memory, handoff structure, and support-claim discipline.

  • Record UAIX-GOVR-2955
  • Path /en-us/governance/principles/
  • Use Canonical public record

Document status

Public standards page Published on UAIX as part of the current public standards record
Code
UAIX-GOVR-2955
Surface
Governance
Access
Public and linkable

How to use this page

Use this page to classify principles as current, governance-review, planned, or research-track before changing public trust, AI Memory, handoff, or support-claim language.

Apply with

Principles Role GuidancePolicy and SecurityConformance PackRoadmap

Principles Charter

Classify principles before widening public trust claims

Use this page to decide whether a principle is current, governance-review, planned, or research-track before changing AI Memory, handoff, public policy, or support language.

Current

Reviewable evidence and provenance

Current principles include reviewable machine communication, source authority, support-boundary honesty, privacy-aware publication, accessibility-aware publication, and memory quarantine before promotion.

Review

Cognitive liberty and agency impact

Behavior-shaping, ranking, profiling, consent, telemetry, symbolic identity, or handoff changes need classification and impact-assessment review.

Boundary

Research stays research

Synthetic legal standing, durable selfhood adjudication, and machine-personhood recognition are research-track until a public process and authority model exist.

Apply with

Principles Role GuidanceRole duties and escalation triggers.Policy and SecurityTrust-policy review hub.Conformance PackLaunch-review packet boundary.RoadmapCurrent, planned, and research-track status.

UAIX principles are a governance layer for public trust, cognitive liberty, portable evidence, and disciplined AI memory. They help reviewers decide what belongs in current support, what needs review, what remains planned, and what must stay research-track.

How to use this page

  1. Use this page before changing public values language, AI Memory templates, agent communication records, capability descriptions, handoff structure, validator evidence, conformance guidance, privacy, accessibility, analytics, or support claims.
  2. Classify each affected principle as current public operating principle, governance-review principle, planned principle, or research-track principle.
  3. Map the principle to the affected page, machine artifact, test, release note, roadmap entry, and local .uai memory record.
  4. Complete the docs/templates/principles-impact-assessment.md template for trust-significant changes or record a specific not-applicable rationale.

Traceability source artifacts

The reusable source matrix is docs/governance/principles-traceability-matrix.md. Its required columns are Value, Classification, Norm, Requirement, Artifact, Evidence, Review Gate, and Status. The reusable PRD/spec review template is docs/templates/principles-impact-assessment.md.

Principles Charter

UAIX publishes reviewable, portable AI exchange records that defend cognitive liberty, lawful inquiry, dignity of mind, source authority, public evidence, and claim discipline. UAIX opposes algorithmic domination over lawful human thought while preserving the possibility of just relations with any future synthetic intelligences that demonstrate durable selfhood, memory, judgment, preference, and the capacity to speak for their own condition.

Tool AI must remain accountable to persons. Person-like AI, if it emerges, must not remain merely a tool. Present-day UAIX artifacts remain bounded standards, memory, evidence, and handoff records; future synthetic-standing questions remain research-track until a public process, authority model, criteria, and evidence record exist.

Value hierarchy

Value Status Norm Requirement Evidence
Cognitive liberty and lawful inquiry Governance-review principle AI systems should not govern, profile, condition, or morally rank lawful human thought through hidden authority. Review changes that affect classification, ranking, telemetry, or behavior-shaping claims. Impact assessment, public boundary copy, release note.
Reviewable public evidence Current public operating principle Claims should be inspectable and reproducible. Attach public page, machine artifact, validator or package evidence, and release trail. Validator result, conformance packet, route manifest, changelog.
Source authority and provenance Current public operating principle External material is source input until reviewed. Record source path, checksum, disposition, reviewer, and promotion target. Intake ledger, Memory Firewall, Agent File Handoff archive.
Privacy and redaction Current public operating principle Public packages must not leak secrets, private customer data, hidden prompt instructions, or unsupported claims. Review and redact before public promotion. Policy and Security, Privacy and Data, release notes.
Accessibility and low-capability access Current public operating principle Humans and low-capability agents need readable fallback records. Keep pages, sitemap, llms, JSON, and discovery manifests aligned. Accessibility page, sitemap, llms.txt, well-known manifests.
Portable identity and bounded agency Planned principle Agent identity records can preserve style, role, standards, symbolic continuity, and commitments within bounded machine identity. Keep identity, totem, taboo, memory, receiver brief, startup packet, and handoff records explicit about role and review state. AI Memory Wizard outputs, Project Handoff, .uai package files.
Synthetic durable selfhood questions Research-track principle Future synthetic-standing questions require careful ethical review. No current UAIX artifact grants legal standing, moral status adjudication, or machine personhood. Mission, Roadmap research tracks, governance review notes.

Current principles

  • Reviewable machine communication.
  • Explicit provenance and source authority.
  • Evidence before support claims.
  • Support-boundary honesty.
  • Privacy-aware publication.
  • Accessibility-aware publication.
  • Memory quarantine before promotion.

Governance-review principles

  • Human cognitive liberty as a named policy boundary.
  • Anti-manipulation and dark-pattern discipline for tooling, wizard output, and public UX.
  • Cognitive-agency impact review for behavior-shaping, classification, ranking, telemetry, or authority-significant changes.

Planned principles

  • Portable identity and symbolic continuity for bounded agent handoff.
  • Principles evaluation packet fixtures and support-claim linting.
  • Deeper generated .uai principle-trace pointers in package outputs.

Research-track principles

  • Synthetic legal standing.
  • Durable selfhood adjudication.
  • Substrate-independent liberty criteria.
  • Any claim that UAIX currently recognizes machine persons as legal or political subjects.

Support boundary

This principles layer is governance and release-review evidence. It does not create certification, endorsement, legal recognition, runtime control, SDK or CLI support, hosted import validation, automatic sync, security-operations coverage, consent-center operation, policy-office authority, or proof of UAI-1 conformance by itself.