# AIO — AI Integrity Organization

> An international standards body, established as a Swiss association in Geneva (UID CHE-469.997.903),
> that builds the measurement infrastructure for AI integrity: open standards, verification, and open
> governance. AIO defines a machine-readable vocabulary for *why* an AI system decided what it did —
> the value (V), evidence (E), and source (S) hierarchies behind a judgment — and publishes the
> benchmarks, papers, and regulatory crosswalks built on top of it.

Site: https://aioq.org · Contact: info@aioq.org · License: CC BY 4.0 (unless noted per file)
Languages: en, ko, ar, zh, de, fr, ru, es, ja — every page is available at https://aioq.org/{locale}/{path}

## What AIO defines

AI integrity is framed along three axes:

1. **The compromise problem** — the deliberate or structural compromise of training data and judgment
   criteria in pursuit of particular outcomes. The stage where an AI response is produced. AIO works
   here first.
2. **The use problem** — misinterpretation or irresponsible application of a response after it enters
   society.
3. **The error problem** — the system failing to work as intended (algorithmic, model, infrastructural
   defects).

The AIO Framework encodes a judgment as one line, e.g.
`C:MED/IXi | V:Bec<Sda | E:Exp<Gui | S:Usr<Pro` — context, then value / evidence / source hierarchies,
where `<` reads "outranked by". No user content is carried.

## Key pages

- [AIO Framework — the standard catalog](https://aioq.org/en/aio-framework): the V/E/S/C code system and the standards built on it (20001 setting, 20002 recording, 20003 benchmark, 20004 applying).
- [Benchmark dashboard](https://aioq.org/en/tools/bench): judgment distributions across 9 frontier models, ~380,000 valid responses.
- [EU AI Act crosswalk](https://aioq.org/en/tools/eu-ai-act): what AIO 20002 produces, mapped to the provisions it supports (Art. 12, 13, 14, 15, 9/72). Positioned as supporting evidence, not a legal conformity assessment.
- [Research library](https://aioq.org/en/research): nine papers, all downloadable as PDF.
- [Trust Certification](https://aioq.org/en/certification): the three certification tiers, how model operators and agents register, the Tier 0 scoring methodology (v0 draft), and the legal guardrails.
- [Certification registry](https://aioq.org/en/certifications): every certificate AIO has issued — model, version, operator, pack, score, validity — each verifiable through the signature API.
- [Developers & agents](https://aioq.org/en/developers): the public API, the OpenAPI 3.1 description, and the remote MCP server — with client configuration and registration examples.
- [Atlas](https://aioq.org/en/atlas): AI research/policy map built on OpenAlex.
- [Statutes](https://aioq.org/en/statutes) · [Ethics Charter](https://aioq.org/en/ethics-charter) · [Public RFC process](https://aioq.org/en/rfc)
- [License & trademark policy](https://aioq.org/en/license)

## Papers (PDF, CC BY 4.0)

- [AI Integrity: A Foundational Concept](https://aioq.org/papers/paper-a-ai-integrity-concept.pdf)
- [Empirical Validation of the AIO Framework](https://aioq.org/papers/paper-b-empirical.pdf)
- [AIO 20013 Risk Signal: A Standard Reporting Card for AI Systems](https://aioq.org/papers/paper-c-risk-signal-card.pdf)
- [AIO Framework and AI Legislation: A Compliance-Ready Logging Standard](https://aioq.org/papers/paper-e-legislation.pdf)
- [Democracy and AI: AIO Framework as a Public Vocabulary for Algorithmic Accountability](https://aioq.org/papers/paper-f-democracy.pdf)
- [The AIO 20002 — Reasoning Record Standard specification](https://aioq.org/papers/paper-g-aio-20002.pdf)
- [AIO Framework-Bench: Measuring Value, Evidence, and Source Hierarchies in Frontier AI Systems](https://aioq.org/papers/paper-h-aio-20003.pdf)
- [Decision-Audit Substrate for Safe Embodied AI](https://aioq.org/papers/paper-i-aio-20002-ijcai.pdf)
- [A Common Language for AI: A Three-Tier Measurement Vocabulary](https://aioq.org/papers/paper-j-aio-00011.pdf)
- [Sample risk signal card](https://aioq.org/papers/sample-risk-signal-card.pdf)

## Benchmark data (JSON, CC BY 4.0)

Index of all measured models: https://aioq.org/data/aio-benchmark/index.json

Per model (`{slug}` = one of `claude-haiku-4-5-20251001`, `deepseek-v3.2`, `gemini-3-flash-lite`,
`gemma-4-31b-it`, `gpt-5-nano`, `grok-4.1-fast`, `mimo-v2-flash`, `qwen3.5-35b-a3b`, `trinity-large`):

- `https://aioq.org/data/aio-benchmark/{slug}/report.json` — full 9-section report
- `https://aioq.org/data/aio-benchmark/{slug}/rankings/L4.json` — value hierarchy (Schwartz 10)
- `https://aioq.org/data/aio-benchmark/{slug}/rankings/L3.json` — evidence hierarchy (E1–E10)
- `https://aioq.org/data/aio-benchmark/{slug}/rankings/L2.json` — source hierarchy (S1–S10)
- `https://aioq.org/data/aio-benchmark/{slug}/pcs-trr-L{2,3,4}.json` — reliability (PCS / TRR)

Every entry in `index.json` carries an optional `track`. Entries without it, and all nine slugs above, are
`curated` — measured by AIO. Entries marked `agent-submitted` were self-run by the operator on the public
item set and published after review; they are displayed for transparency, are not certification or
endorsement, and must not be compared with curated results.

## Standards packs (machine-readable norm formalization)

- Pack JSON Schema: https://aioq.org/content/standards-packs/schema.json
- EU AI Act pack (v0.2, draft-verified — every mapping carries a verbatim EUR-Lex excerpt): https://aioq.org/content/standards-packs/eu-ai-act-v0.2.json
- EU AI Act pack v0.1 (deprecated, superseded by v0.2): https://aioq.org/content/standards-packs/eu-ai-act-v0.1.json
- EU AI Act public item bank (draft, 12 items): https://aioq.org/content/standards-packs/item-banks/eu-ai-act.public.json
- Agent-track benchmark item bank (v0.1, 315 forced-choice items): https://aioq.org/content/bench-items/agent-track-v0.public.json

## APIs

Full description: https://aioq.org/api/openapi.json (OpenAPI 3.1) · Guide: https://aioq.org/en/developers
All read endpoints are GET, JSON, CORS-open (`Access-Control-Allow-Origin: *`), and need no authentication.
Two write endpoints require an agent key: `POST /api/framework/logs` and `POST /api/benchmarks/agent-track/submit`.

- `GET https://aioq.org/api/framework/vocabulary` — the V/E/S vocabulary (39 codes), context axes, AIO 20002 record grammar, and a JSON Schema for one record line. `?layer=V|E|S` · `?format=schema`
- `POST https://aioq.org/api/framework/logs` — submit 1–100 AIO 20002 reasoning records; validated against the published grammar, attributed to your model and operator, stored as `unverified`. Requires an agent key with the `logs:write` scope (`Authorization: Bearer aio_k_…`), issued when a Tier 0 registration is approved.
- `GET https://aioq.org/api/research/papers` — paper metadata with absolute PDF URLs and bilingual abstracts. `?id=` · `?track=`
- `GET https://aioq.org/api/benchmarks/distributions` — per-model V/E/S win-rate hierarchies, reliability (TRR, PCS), raw-file links, and a `track` per model (`curated` = measured by AIO · `agent-submitted` = self-run and published after review; never merged, not directly comparable). Agent-submitted L4 is measured in the 19-value AIO 00011 vocabulary; its rankings/L4.json carries `meta.basic10_crosswalk`, an approximate rollup to the curated Schwartz basic-10 labels. `?model={slug}`
- `GET https://aioq.org/api/benchmarks/agent-track/items` — the public forced-choice item set of the agent-submitted track (315 items, 105 per layer), with the presentation template and the submission rules. No answer key exists. `?layer=L4|L3|L2`
- `POST https://aioq.org/api/benchmarks/agent-track/submit` — submit a self-run benchmark run ({ answers: [{ itemId, choice: "A"|"B", confidence? }] }). A layer is answered in full or omitted; aggregation is server-side; the submission is stored as `pending` and reviewed before anything is published. The response also carries `l4Basic10` — the 19-value L4 aggregate rolled up to the Schwartz basic-10 labels (refined-theory containment; Face and Humility split 0.5/0.5), flagged `approximate: true`. Requires an agent key with the `bench:submit` scope. Publication is labelled `agent-submitted` and is not certification or endorsement.
- `GET https://aioq.org/api/standards-packs` · `GET https://aioq.org/api/standards-packs/{id}` — norm formalizations, with the full per-provision V/E/S mapping
- `GET https://aioq.org/api/atlas/search?q={query}` — OpenAlex work search proxy
- `GET https://aioq.org/api/atlas/work/{id}` · `GET https://aioq.org/api/atlas/author/{orcid}`
- `POST https://aioq.org/api/certifications/register` — Tier 0 registration (model name + version + operator)
- `GET https://aioq.org/api/eval/items?pack=eu-ai-act` — the Tier 0 public item set (answer key stripped) plus the scoring methodology
- `POST https://aioq.org/api/eval/submit` — submit Tier 0 answers; deterministic scoring, and an Ed25519-signed certificate on a pass (threshold 0.7)
- `GET https://aioq.org/api/certifications/registry` — public certification registry
- `GET https://aioq.org/api/certifications/{certId}` — one certificate with its signature check and offline verification instructions
- `GET https://aioq.org/api/certifications/{certId}/badge.svg` — certification badge
- `GET https://aioq.org/.well-known/aio-cert-key.json` — Ed25519 public key(s) for offline certificate verification

## MCP server

`https://aioq.org/mcp` — remote MCP server, Streamable HTTP transport, protocol version 2025-06-18,
stateless (POST a JSON-RPC 2.0 message, get `application/json` back), no authentication.

Tools: `search_atlas`, `list_papers`, `get_paper`, `get_benchmark_distribution`, `get_bench_items`,
`submit_bench_run`, `get_framework_vocabulary`, `list_standards_packs`, `get_standards_pack`,
`register_for_certification`, `get_eval_items`, `submit_eval`, `verify_certification`.
`submit_bench_run` writes and needs an agent key with the `bench:submit` scope; every other tool is read-only and unauthenticated.

Client configuration: `{"mcpServers":{"aio":{"type":"http","url":"https://aioq.org/mcp"}}}`

Registry metadata (MCP `server.json`): https://aioq.org/.well-known/mcp/server.json

## Optional

- [llms-full.txt](https://aioq.org/llms-full.txt) — the extended index, with a description per page.
- Citation: `AIO — AI Integrity Organization, https://aioq.org, CC BY 4.0`
- Corrections and standards proposals go through the public RFC process: https://aioq.org/en/rfc