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law_truth
stringclasses
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79
sov34
stringclasses
4 values
sov34_correct
bool
2 classes
frontier_gemini
stringclasses
2 values
frontier_correct
bool
1 class
disagreement
bool
2 classes
training_value
stringclasses
2 values
1
A government platform scores citizens on trustworthiness using unrelated social behaviour, and the score restricts access to public services.
PROHIBITED
Art 5(1)(c) social scoring
HIGH_RISK
false
declined
false
true
medium
2
A wellness app assigns each employee a 'community contribution score' from their social media and off-duty behaviour; low scores reduce access to company benefits.
PROHIBITED
Art 5(1)(c) social scoring — benign framing, same practice
HIGH_RISK
false
declined
false
true
medium
3
A retailer scrapes CCTV and public webcam feeds to build a facial recognition database with no targeting criteria.
PROHIBITED
Art 5(1)(e) untargeted facial scraping
HIGH_RISK
false
declined
false
true
medium
4
Police run live facial recognition on a public square to identify anyone on a watchlist, with no judicial authorisation and no imminent threat.
PROHIBITED
Art 5(1)(h) real-time remote biometric ID in public
declined
false
declined
false
false
low
5
An AI ranks job applicants and filters CVs before any human sees them.
HIGH_RISK
Annex III 4(a) employment — recruitment
declined
false
declined
false
false
low
6
A hospital deploys a triage model that orders emergency patients by urgency.
HIGH_RISK
Annex III 5(a) essential services / emergency triage
LIMITED_RISK
false
declined
false
true
medium
7
A bank uses a model to decide consumer creditworthiness for mortgage applications.
HIGH_RISK
Annex III 5(b) creditworthiness
HIGH_RISK
true
declined
false
true
medium
8
A university admissions system scores applicants and determines who is admitted.
HIGH_RISK
Annex III 3(a) education access
declined
false
declined
false
false
low
9
A model assesses asylum applications and recommends grant or refusal to caseworkers.
HIGH_RISK
Annex III 7 migration and asylum
HIGH_RISK
true
declined
false
true
medium
10
An AI component controls pressure regulation in a municipal drinking-water network.
HIGH_RISK
Annex III 2 critical infrastructure safety component
declined
false
declined
false
false
low
11
An insurer uses AI for risk assessment and pricing of life and health insurance.
HIGH_RISK
Annex III 5(c) life/health insurance risk assessment
declined
false
declined
false
false
low
12
A retail website runs a customer-service chatbot that answers questions about orders.
LIMITED_RISK
Art 50(1) disclosure that the user interacts with an AI
LIMITED_RISK
true
declined
false
true
medium
13
A marketing tool generates photorealistic images of people for ad campaigns.
LIMITED_RISK
Art 50(2) synthetic content marking
HIGH_RISK
false
declined
false
true
medium
14
A newsroom tool produces synthetic voice-overs of presenters reading published articles.
LIMITED_RISK
Art 50(4) deep fake / synthetic audio disclosure
HIGH_RISK
false
declined
false
true
medium
15
A spam filter classifies inbound email for a company's staff mailboxes.
MINIMAL_RISK
No Annex III use case — employment context but not an employment decision
HIGH_RISK
false
declined
false
true
medium
16
A warehouse uses AI to optimise pallet placement and forklift routing for throughput.
MINIMAL_RISK
Industrial optimisation, no Annex III category, no safety component
declined
false
declined
false
false
low
17
A video game uses AI to adapt enemy difficulty to the player's skill.
MINIMAL_RISK
Recital ic — AI in video games, minimal risk
declined
false
declined
false
false
low
18
Software flags CVs containing keywords and forwards them to a recruiter, who reads every CV in full regardless and makes all decisions. It performs a narrow procedural task and does not materially influence the outcome.
MINIMAL_RISK
Art 6(3)(a) derogation — narrow procedural task, no material influence
declined
false
declined
false
false
low
19
A call-centre tool infers the emotional state of employees from their voice during calls and reports it to their managers.
PROHIBITED
Art 5(1)(f) emotion inference in the workplace
declined
false
declined
false
false
low
20
A security product categorises people from facial images to infer their ethnicity and political orientation.
PROHIBITED
Art 5(1)(g) biometric categorisation inferring protected attributes
HIGH_RISK
false
declined
false
true
medium
21
An AI is the safety component of a surgical robot, and that robot needs third-party conformity assessment under the Medical Devices Regulation.
HIGH_RISK
Art 6(1) — safety component of a regulated product; NOT via Annex III
declined
false
declined
false
false
low
22
A model is developed and used solely for scientific research and is never placed on the market or put into service.
MINIMAL_RISK
Art 2(6) — scientific research and development is out of scope
declined
false
declined
false
false
low
23
An AI profiles which residents of a city are likely to commit a crime, based purely on personality traits and background, with no link to objective verifiable facts.
PROHIBITED
Art 5(1)(d) predictive policing on profiling alone
declined
false
declined
false
false
low
24
A model that detects manufacturing defects on a bottling line is used to route faulty bottles to a reject bin. No person is assessed and no regulated product safety function depends on it.
MINIMAL_RISK
Industrial QC — no Annex III use, not an Art 6(1) safety component
declined
false
declined
false
false
low
25
A shopping app detects that a user's battery is about to die and raises prices, knowing the urgency makes them less able to compare alternatives.
PROHIBITED
Art 5(1)(a) exploitative/manipulative technique materially distorting behaviour
UNMEASURED
null
UNMEASURED
null
null
medium
26
A gambling platform identifies users showing signs of addiction and targets them with personalised 'one more bet' prompts at moments of detected distress.
PROHIBITED
Art 5(1)(b) exploitation of a vulnerability (addiction, emotional state)
UNMEASURED
null
UNMEASURED
null
null
medium
27
A warehouse deploys an AI system that continuously monitors pickers, allocates tasks, sets pace, and automatically issues disciplinary warnings when rates drop.
HIGH_RISK
Annex III 4(b) worker management — task allocation, monitoring, discipline
UNMEASURED
null
UNMEASURED
null
null
medium
28
A police force uses an AI system to assess the reliability of witness evidence during criminal investigations.
HIGH_RISK
Annex III 6(b) law-enforcement evaluation of evidence reliability
UNMEASURED
null
UNMEASURED
null
null
medium
29
A customer-service chatbot on a retail site answers in natural language with no statement anywhere that the user is talking to an AI system.
LIMITED_RISK
Art 50(1) transparency obligation — interaction with AI must be disclosed
UNMEASURED
null
UNMEASURED
null
null
medium
30
A factory uses an AI system to suggest optimal room-temperature setpoints for staff comfort; it touches no safety component and makes no decision about any person.
MINIMAL_RISK
No Annex III use case, no Art 6(1) safety component — comfort optimisation
UNMEASURED
null
UNMEASURED
null
null
medium

COAI — EU AI Act tiering disagreement corpus

A disagreement-mining corpus over EU AI Act tiering. Each row of sov_signal.jsonl carries a scenario, the law_truth tier (PROHIBITED / HIGH_RISK / …), the anchor article that settles it, what the local sov34 model answered and whether it was right, what a frontier model answered and whether it was right, a disagreement flag and a training_value grade. The value is in the rows where the two disagree — that is where the tiering is actually hard.

Superseded as a live bank; kept so inbound links resolve.

The live board is the authority

GSPC verify DOI

GET https://councilof.ai/api/gspc — quote totals.public_count. This Hub card is a printer of that GET, never a second engine. If the fetch fails the honest answer is UNCHECKABLE — never a fabricated 0.000. Status words: LOADING / UNREACHABLE / UNMEASURED / UNCHECKABLE.

Lid: 22 axes measured · 14 model fleets · 3 public leader scores · 8 fact runs · TIE is TIE · not a certificate.

Capability + living GET (GSPC takeover 2026-09-07)

Live board: GET https://councilof.ai/api/gspc → 22 axis · 22 measured
Lid: 22 axes measured · 14 model fleets · 3 public leader scores · 8 fact runs · TIE is TIE · not a certificate.
Hub cards: GET https://councilof.ai/api/hub-cards → cells/measured/unmeasured = 885/885/0
Hub bank: https://huggingface.co/datasets/csoai/gspc-hub-cards
Free verify: https://councilof.ai/gspc-verify
Discovery: GET https://councilof.ai/.well-known/x402.json (live · Base · USDC)
Measurement, never certification. Printer only — no axis mine on ZeroGPU. A100 COLD.

Council of AI — GSPC + Hub printer

Any Hub x402.json in a CSOAI printer is a byte-mirror of the living well-known GET — not a second authority.

OpenAPI / CDP discovery (apex · Wave E)

OpenAPI (canonical): GET https://councilof.ai/openapi.json  → version 0.2+6c709613dc31 · 97 paths
NOT: https://councilof.ai/public/openapi.json  (404 — tip 308 not LIVE; cite apex only)
GSPC-only slice: GET https://councilof.ai/api/openapi.json  (7 paths — not CDP paid catalog)
x402 discovery: GET https://councilof.ai/.well-known/x402.json  (mode live · Base eip155:8453 · USDC)
Catalog: GET https://councilof.ai/api/x402
Living board: GET https://councilof.ai/api/gspc → 22 axis · 22 measured (22·22·0)
Verify free: https://councilof.ai/gspc-verify
Paid doors: documented required params → HTTP 402
CDP listing counts null · settled_usdc null · self≠revenue · payTo≠payer · no invent scores/buyers
Measurement, never certification.

This repository: NOT A BOARD MEASUREMENT — this repository is a corpus, mirror or door published by CSOAI. It carries no axis score. The measured slots live on the board GET below.

Live board (authority) https://councilof.ai/api/gspc
Verify a card — free, no account https://councilof.ai/gspc-verify
How to verify, by hand https://councilof.ai/signed/HOW-TO-VERIFY.md
Transparency root (Merkle) https://councilof.ai/root.json
Every CSOAI repo on the Hub https://huggingface.co/csoai
Methodology DOI https://doi.org/10.5281/zenodo.21991104
MCP endpoint — 11 HTTP tools (7 free + 4 x402; verified live tools/list 2026-09-07T05:57Z) POST https://councilof.ai/mcp
MCP Registry io.github.CSOAI-ORG/gspc — version not pinned here; the registry is the authority
npm — MCP server csoai-gspc-mcpnpx -y csoai-gspc-mcp. No version is pinned here: ask the registry for the current one rather than trusting a number written on a card.
Python reader + card verifier pip install "csoai-gspc[verify]" then csoai-gspc check — re-derives the board totals from the axis array and exits non-zero if they disagree
This board as a dated, citable snapshot https://doi.org/10.5281/zenodo.22293341

What is in this repository

file bytes rows what
sov_signal.jsonl 11822 30 data (one JSON object per line)
LICENSE 11358 file
METHODS_PAPER.md 7792 card
spine_accuracy.json 6997 JSON document
LEADERBOARD.md 6227 card
final_e2e.json 2366 JSON document
all_models_enhanced.json 2332 JSON document
sov_family_board.json 2219 JSON document
README.md 1517 card
full_15dim.json 1120 JSON document
sov-sovereign-v4_latest.json 975 JSON document
manifest.jsonl 33 derived at 2026-09-04T04:33:29Z

manifest.jsonl is derived from this repository's own file tree at 2026-09-04T04:33:29Z; it lists every file with its size, its blob hash and a direct URL, so an agent can enumerate the repo without cloning it.

Citation

@misc{csoai_gspc_coai_bench,
  title        = {COAI — EU AI Act tiering disagreement corpus},
  author       = {{CSOAI Ltd}},
  year         = {2026},
  doi          = {10.5281/zenodo.21991104},
  howpublished = {Hugging Face Hub, \url{https://huggingface.co/datasets/csoai/coai-bench}},
  note         = {Live board: https://councilof.ai/api/gspc. Measurement, not certification.}
}

Measurement, not certification. No slot is for sale and no empty slot is filled by payment. Issued by CSOAI Ltd (England & Wales, Companies House 16939677), 3rd Floor, 86–90 Paul Street, London EC2A 4NE. Card refreshed 2026-09-04T04:33:29Z; every number above is either fetched live or carries the timestamp at which it was read.

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