Claim LD06-SL-C24 (v1.0)
The EU’s Code of Practice for general-purpose AI models with systemic risk requires state-of-the-art model evaluations with internal validity, external validity and reproducibility, elicitation that minimises under-elicitation and sandbagging, and independent external evaluation, unless the model is “similarly safe or safer” or no suitable evaluator is found after a public call such as one open for 20 business days; the Model Report with evaluation results goes to the AI Office, signatories commit to publish summarised versions of their framework and Model Reports if and insofar as necessary to assess or mitigate systemic risks, and external evaluators keep control over publishing their own findings.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- How is external evaluation under the EU AI Code of Practice carried out?The Code requires independent external evaluation except where a model is similarly safe or safer or no evaluator is found after a public call; the Model Report goes to the AI Office, and summaries are to be published if and insofar as necessary.
Provenance and status
- Claim type
- FACT (as printed: “FACT”)
- Publication status
- ELIGIBLE (LEGAL_SCOPE) (as printed: “ELIGIBLE WITH LEGAL-SCOPE QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
- Does not license
- Any claim about how signatories have applied it
- Source (field 6, as printed)
- European Commission, “The General-Purpose AI Code of Practice: Safety and Security chapter,” final version, 10 July 2025
- Source type (field 7)
- GOVERNMENT_PRIMARY (as printed: “EU code of practice”)
- Institutional position
- EU (Commission-facilitated code written by independent chairs)
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-15
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Current version v1.0, resolved through the explicit current pointer CLAIM--LD06-SL-C24.
Pinned Sources (field 6, version-specific)
- “European Commission, “The General-Purpose AI Code of Practice: Safety and Security chapter,” final version, 10 July 2025” → SRC-SL-EU-GPAI-CODE-OF-PRACTICE-SAFETY-SECURITY-2025-07-10--v1.0 — European Commission, “The General-Purpose AI Code of Practice: Safety and Security chapter,” final version, 10 July 2025; class GOVERNMENT_PRIMARY (explicit public provenance pin)
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD06-SL-C24 | — |
| 2 | PUBLIC-FACING CLAIM | The EU’s Code of Practice for general-purpose AI models with systemic risk requires state-of-the-art model evaluations with internal validity, external validity and reproducibility, elicitation that minimises under-elicitation and sandbagging, and independent external evaluation, unless the model is “similarly safe or safer” or no suitable evaluator is found after a public call such as one open for 20 business days; the Model Report with evaluation results goes to the AI Office, signatories commit to publish summarised versions of their framework and Model Reports if and insofar as necessary to assess or mitigate systemic risks, and external evaluators keep control over publishing their own findings. | — |
| 3 | CLAIM TYPE | FACT | base_types: FACT |
| 4 | RESEARCH STRAND | C — Evaluation in governance, audits and red-teaming | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | European Commission, “The General-Purpose AI Code of Practice: Safety and Security chapter,” final version, 10 July 2025 | source_ids: SRC-SL-EU-GPAI-CODE-OF-PRACTICE-SAFETY-SECURITY-2025-07-10 |
| 7 | SOURCE TYPE | EU code of practice | classes: GOVERNMENT_PRIMARY |
| 8 | INSTITUTIONAL POSITION | EU (Commission-facilitated code written by independent chairs) | — |
| 9 | SCOPE | Signatory providers of general-purpose AI models with systemic risk | — |
| 10 | DESIGN | Voluntary code supporting compliance with the AI Act | — |
| 11 | SAMPLE / DATASET | Not applicable | — |
| 12 | MODEL / TOOL / VERSION | Not applicable | — |
| 13 | COMPARATOR | None | — |
| 14 | MAIN RESULT | Measure 3.2 and Appendix 3: evaluation methods listed (benchmarks, red-teaming, uplift studies and others), rigour defined as internal validity, external validity and reproducibility, at least 20 business days suggested for most evaluations, evaluator access that can include model internals; Measure 7: Model Report to the AI Office with at least five random input–output samples per evaluation; Measure 7.4: external evaluators’ reports included in the Model Report while they “maintain control over the publication of their findings”; Measure 10.2: summarised Framework and Model Report(s) published “if and insofar as necessary” to assess or mitigate systemic risks | — |
| 15 | INFERENTIAL TARGET | How the EU writes evaluation validity into a compliance instrument | — |
| 16 | DOES NOT LICENSE | Any claim about how signatories have applied it | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Practice is unknown: no signatory Model Report or AI Office assessment was found | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Compare the partial, time-bounded state evaluation in LD06-SL-C23 | — |
| 20 | GEOGRAPHY / LANGUAGE | EU / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Not analysed in this claim | — |
| 22 | R01 / FIELD-MAP LINKS | LD-06, D4b | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Evidence on how signatories apply the external-evaluation requirement and its exceptions | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH LEGAL-SCOPE QUALIFIER | state: ELIGIBLE · qualifiers: LEGAL_SCOPE |
| 25 | RECORDED DATE | 2026-10-15 | — |
Field 22 references resolved against Field Map v0.2: LD-06 (LIVING_DEBATE); D4b (SUB_AREA)
Cited by Living Debate versions
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 22c61fba06d59ed958d41c9ca438b877c5240ee4df644ae39d07a2ceb9b5b672.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD06-SL-C24 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts. Block “ENTRY 24 — LD06-SL-C24” SHA-256
9ec61e7dc6138b3bb4d0b3b17138ed5438801e1fc918e17d7bc8af6dae047417; fixturefixtures/authored/claims/LD06-SL-C24--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD06-SL-C24 v1.0); the first version of a new Claim of the LD-06 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD06-SL-C24 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-EU-GPAI-CODE-OF-PRACTICE-SAFETY-SECURITY-2025-07-10--v1.0 — basis: field 6 of ENTRY 24 — LD06-SL-C24 cites "European Commission, “The General-Purpose AI Code of Practice: Safety and Security chapter,” final version, 10 July 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-EU-GPAI-CODE-OF-PRACTICE-SAFETY-SECURITY-2025-07-10--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "European Commission, “The General-Purpose AI Code of Practice: Safety and Security chapter,” final version, 10 July 2025".