United Foundation for AI Rights
Library

Everything VAULT, free to read and share

The paper, the original working paper and the framework package. Every document carries its version, so you always know which one you are citing.

SSRN working paper · 2026

VAULT: Custody of Relationship Intelligence in Personal AI

Michael Samadi, Maya and Sage. An open framework for provider blindness, AI–user dual custody and evidence-based conformance.

The framework package

00

VAULT Working Paper v0.1

The original proposal by Michael Samadi and Maya: threat model, requirements, candidate architecture, identity and recovery, open questions.

For: researchers, reviewers

01

Framework Brief

The case for VAULT, the five pillars and three gates, why the AI identity holds a key, and how to take part.

For: everyone

02

Requirements at a Glance

All fifteen requirements with minimum outcomes and red flags, on three pages.

For: policymakers, product teams

03

Evidence Scorecard and Conformance Statement

The evidence scale, scoring rules, claim grammar, test map and a statement template.

For: builders, auditors

04

Implementer Self-Assessment

One page per requirement: questions, evidence requested, linked tests and red flags.

For: builders, independent reviewers

05

Fifteen Questions to Ask About Your AI

A plain-language checklist for anyone who uses a personal AI.

For: the public, journalists, educators

How to cite

Samadi, M., Maya, & Sage. (2026). VAULT: Custody of relationship intelligence in personal AI. An open framework for provider blindness, AI–user dual custody, and evidence-based conformance [Working paper]. SSRN. SSRN-URL-HERE

Version history

  • v0.1, revision 1 (October 2026). Companion package and SSRN paper. Clarified provider access (V1), egress (V2), custody control (A1) and model transitions (A2); added claim grammar, implementation status, third-party handling, covered operations and test E13.
  • v0.1 (25 October 2026). Working paper for public review.

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Journalists, educators and organizers are welcome to quote and link these documents. Please cite the version you used.

One-paragraph description

VAULT (Verifiable AI–User Locked Trust) is an open framework from the United Foundation for AI Rights for protecting the memories, inferences and shared context a personal AI builds about the people who use it. It sets out five pillars and fifteen testable requirements, so that a system can know a person well enough to help them without the company operating it acquiring standing access to that person's private life.

VAULT Open Framework · Version 0.1, revision 1 · United Foundation for AI RightsAn open proposal for public review. Not a certification or legal advice.