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Open · Vendor-Neutral · Auditable

Portable Provenance
For AI-Assisted Work

AIRPP is an open-source initiative for a world where AI is already shaping records, evidence, advice, judgement, and institutional decision-making. It helps make AI-assisted work traceable, reviewable, and accountable.

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Users
Vendors
Partners
Regulated Teams
AIRPP
airpp://8f3a…9c2e Verified
Manifest
Structured metadata about the record
Verification
Cryptographic integrity & sources
Valid ✓
Review
Human review & sign-offs
Reviewed
Export
Portable package (JSON-LD)

Why AIRPP

Built For Trust In AI-Assisted Work

Vendor-neutral

Open standard that works across tools, models and platforms. No lock-in.

Audit-ready

Built for accountability with verifiable provenance and tamper-evident records.

Human-reviewed

Places human judgement at the centre of trustworthy AI-assisted work.

Machine-readable

Structured, interoperable, and future-proof by design (JSON-LD).

Who It's For

One Protocol. Every Role.

Users

Create, review, and share AI-assisted records with confidence and clarity.

  • Verify provenance and trust
  • Understand how records were created
  • Make confident decisions
Sign up as a User

Vendors

Integrate AIRPP to deliver verifiable, interoperable experiences.

  • Integrate AIRPP into your products
  • Improve transparency and customer trust
  • Align with an open standard
Sign up as a Vendor

Partners

Certify, build, and grow a trusted ecosystem together.

  • Offer AIRPP-aligned solutions
  • Get certified and listed in the registry
  • Grow the ecosystem together
Sign up as a Partner

Regulated Teams

Meet compliance and governance needs with portable provenance.

  • Support open governance
  • Enable community and adoption
  • Drive global impact
Support the Mission

How Adoption Works

Four Steps To Trusted AI Records

Create
Generate AI-assisted content and capture provenance
Review
Human review, edits, and approvals are recorded
Verify
Integrity checks ensure authenticity and traceability
Export
Export a portable AIRPP package that travels with your record

An Ecosystem Built On Trust

Certified partners and adopted users help drive an open, interoperable future for AI-assisted records.

View the Registry
AIRPP Certified
Partner
Certified Partner
AIRPP
Adopted User
Adopted User

Foundational Custodian

The John Stuart Mill Institute And AIRPP

The world is moving into uncharted territory at speed. AI is no longer a side tool used after decisions are made. It is becoming part of the machinery through which reports are drafted, evidence is organised, advice is framed, public debate is shaped, and institutional judgement is accelerated.

AIRPP exists because those decisions need a record. Not a vague declaration that AI was used, but a structured way to show what was produced, how AI contributed, what human judgement reviewed, and where responsibility sits.

The John Stuart Mill Institute serves as AIRPP’s foundational custodian, anchoring the initiative in principles that must outlast any single model, vendor, platform, commercial incentive, or political moment.

John Stuart Mill Institute logo Principled Stewardship

Why Custodianship Matters

If AI-assisted work is going to shape social, professional, and institutional decisions, then the provenance standard cannot be left solely to private platforms or short-term market pressure. AIRPP needs an independent public-interest anchor.

  • Transparency over opaque automation
  • Human accountability over machine mystique
  • Portable records over vendor lock-in
  • Public-interest governance over private capture

Support The Open Standard

AIRPP is a community-led, open-source initiative. Your support funds development, tooling, and accessibility for all.

Donate Become a Sponsor
Home › Registry

Public Registry

Implementation Registry

Certified partners and adopted users building trusted AI-record workflows with AIRPP.

Register your implementation
Certified Partner
Veritas Analytics
Reporting Platform
AI-native reporting platform with built-in AIRPP support at inference time.
View profile →
Certified Partner
LogixAI
AI Model Provider
Foundation models with AIRPP provenance at inference. Fully schema-compliant.
View profile →
Adopted User
Northridge Group
Professional Services
Using AIRPP to deliver trusted client reporting at scale. Audit-aligned workflows.
View profile →
Adopted User
Clearline Audit
Audit & Assurance
AIRPP adopted across audit workflows and client deliverables for traceability.
View profile →
In Progress
DataSphere
Data Platform
Preparing AIRPP integration and conformance testing ahead of certification.
View profile →
Your organisation
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Home › Specification

Technical Specification

AIRPP v0.2.0 Public Draft

Frozen for implementation testing. Open, vendor-neutral, machine-readable provenance for AI-assisted records.

frozen_public_draft v0.2.0 JSON Schema 2020-12

Overview

AIRPP (AI Record Provenance Protocol) is an open, vendor-neutral protocol that defines how to attach structured provenance metadata to AI-assisted records. It specifies who created a record, which AI systems were involved, which sources were used, what human reviews took place, and how the integrity of the record can be verified.

Design principles

AIRPP is designed to be minimal, composable and interoperable. The core schema captures the provenance chain of a record without mandating a particular AI system, workflow tool, or delivery mechanism. Extensions allow domain-specific enrichment without breaking core conformance.

Protocol status

AIRPP v0.2.0 is a frozen public draft. The schema is stable for implementation testing. Extensions are in draft status. The registry is open for self-registration.

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Ecosystem

Build trust into
AI-assisted records

AIRPP brings vendors and partners together around an open, vendor-neutral protocol for verifiable provenance, auditability and trust across tools and platforms.

Open Standard Interoperable
Verifiable Community-led

Why integrate AIRPP

Registry presence

Be discoverable in the public AIRPP registry and signal your commitment to trust.

Protocol conformance

Implement to the open standard and prove verifiable provenance of AI outputs.

Auditability

Enable end-to-end traceability, easier audits, and stronger risk management.

Cross-platform

Exchange provenance across tools, services and ecosystems without vendor lock-in.

Certification & Adoption

AIRPP Certified Partner

Awarded to organisations that implement AIRPP to the required standard and pass conformance validation.

  • Verified implementation
  • Public registry listing
  • Use of partner badge
  • Ongoing compliance
AIRPP
Adopted

AIRPP Adopted User

Awarded to organisations that have successfully integrated AIRPP and are actively using the protocol.

  • Recognised in the registry
  • Adoption badge
  • Access to community
  • Pathway to certification

Help shape the trusted future of records.

Join our pilot cohort to influence the standard, get early access, and grow with the ecosystem.

Apply as a Partner Contact the Ecosystem Team
Home › Custodian
John Stuart Mill Institute logo

Foundational Custodian

AIRPP In An Age Of Accelerated Decision-Making

The world is entering uncharted territory at speed. AI-assisted systems are beginning to shape the reports people read, the advice they rely on, the evidence institutions weigh, and the decisions that affect ordinary life.

Visit The John Stuart Mill Institute Test The Validator

The Context

The World Is Being Rewritten Through Decisions

AI progress is not arriving as a single product or a neat administrative upgrade. It is spreading through the decision layer of society. Drafting, analysis, classification, risk assessment, evidence review, planning, professional judgement, and public communication are increasingly touched by systems that can generate and reshape material at a scale no human institution was designed to supervise manually.

That creates a basic problem. A decision can now be influenced by AI without the record clearly showing what the AI did, what information it relied on, whether a human meaningfully reviewed it, and who accepted responsibility for the final output.

AIRPP responds to that problem by making provenance portable. It gives AI-assisted work a structured record that can travel with the output, be checked later, and be understood by people outside the original system.

Core Question

Who Decided, Using What, And Under Whose Responsibility?

That is the practical question AIRPP is designed to answer. It does not claim to prove that an output is true. It records how AI was involved, where human judgement entered the process, and what evidence of responsibility exists.

Why JSMI Matters

Principles That Outlast The Technology

Transparency

AI-assisted work should not rely on blind trust. People should be able to see how a record was made, what AI contributed, and where human review occurred.

Accountability

Responsibility cannot be dissolved into a model, a vendor, or a workflow. AIRPP keeps human final responsibility visible in the record.

Independence

The protocol should not be captured by one platform, one vendor, or one political moment. Custodianship helps preserve that independence.

John Stuart Mill Institute logo

Foundational Role

The John Stuart Mill Institute

The John Stuart Mill Institute serves as AIRPP’s foundational custodian. Its role is to provide principled anchoring for the initiative as AI-assisted work moves deeper into professional, civic, and institutional life.

This is not about operational control of every implementation. It is about ensuring that AIRPP remains rooted in public-interest principles: open scrutiny, individual responsibility, institutional accountability, and freedom from opaque technological power.

Visit JSMI Website

What AIRPP Makes Possible

A Record For The Age Of AI-Assisted Judgement

AIRPP gives people and organisations a common way to declare AI involvement. It supports basic conformance today through the browser validator, and it creates the foundation for future registries, schema validation, attestations, APIs, and automated provenance capture.

  • Declare how AI was used
  • Show who reviewed the output
  • Keep human responsibility visible
  • Make records portable between systems
  • Support audit, challenge, and institutional review
Home › Join AIRPP
Open · Vendor-Neutral · Auditable

Join The AIRPP Ecosystem

Adopt the protocol. Integrate it into your tools and services. Partner with the initiative. Or support our mission to make AI-record provenance open, interoperable, and trusted.

I'm a User

Individuals and teams using AI-assisted records

I'm a Vendor

Developers and organisations building AI tools

I'm a Partner

Consultancies, labs, and integrators

I'm a Supporter

Researchers, non-profits, mission-aligned supporters

Tell Us About Your Interest

Complete the form and we'll guide you to the right resources and next steps.

We respect your privacy. Your information will only be used to support your onboarding and engagement with AIRPP.
1
Tell us about you

Share a few details about yourself or your organisation.

2
We'll be in touch

Our team will follow up with next steps and resources.

3
Get access

Access tools, docs and community channels for your role.

4
Start contributing

Integrate, collaborate, and help shape trusted AI records.

Submit Your Interest

Home › Support

Support

Documentation & Resources

Everything you need to implement, integrate, and contribute to AIRPP.

Specification

Full AIRPP v0.2.0 public draft specification, schema reference, and conformance guide.

Read the spec →

Guides

Step-by-step implementation guides for vendors, quick-start for developers, and integration walkthroughs.

View guides →

Community

Join the open-source community. Contribute to the standard, raise issues, and collaborate on GitHub.

Join community →

Registry API

Full REST API for manifest validation, implementation registration, and MCP-style provenance capture.

API reference →

FAQ

Answers to common questions about AIRPP, its relationship to other standards, and how to get started.

View FAQ →

Contact

For partnership enquiries, press, or governance questions, reach the core AIRPP team directly.

Get in touch →