Claim LD06-SL-C25 (v1.0)
China’s national standard GB/T 45654-2025 for generative AI services sets a pass rate: at least 90% of sampled output must be free of 31 risk types; its reference appendix specifies a test bank of at least 2,000 questions, refusal of at least 95% of should-refuse questions, and refusal of no more than 5% of should-not-refuse questions.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Who builds and checks China's compliance test banks for generative AI?The standard requires a 90% qualified rate on sampled output and, in its reference appendix, test banks of at least 2,000 questions with refusal thresholds of 95% and 5%.
Provenance and status
- Claim type
- Fact
- Publication status
- Eligible for publication, with qualifiers: legal scope
- Verification state
- Checked against the primary source. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
- Does not license
- Any claim about enforcement; the translator notes it is unclear how enforceable the stricter measures are
- Limitations
- Read in English translation; the test-bank thresholds are in an appendix labelled for reference; filing practice was not read in primary sources
- Source (as cited)
- State Administration for Market Regulation & Standardization Administration of China, GB/T 45654-2025, “Cybersecurity Technology — Basic Safety Requirements for Generative Artificial Intelligence Services,” issued 25 April 2025 (CSET English translation, 28 May 2026)
- Source type
- Standards body document (recorded as “National standard (English translation)”)
- Institutional position
- Chinese national standard (state issuers)
- Maturity of the evidence
- Emerging evidence
- Recorded date
- 15 October 2026
- Currentness / correction
- This is the current version. No correction or concern is recorded on its sources.
Sources this version cites
- State Administration for Market Regulation & Standardization Administration of China, GB/T 45654-2025, “Cybersecurity Technology — Basic Safety Requirements for Generative Artificial Intelligence Services,” issued 25 April 2025 (CSET English translation, 28 May 2026) (Standards body document)
Read the original
Version
This is the current version, v1.0. Earlier versions stay available, and their records never change.
Raw record: every recorded field, with its coded values
All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.
- Claim type (coded)
- FACT (as printed: “FACT”)
- Publication status (coded)
- ELIGIBLE (LEGAL_SCOPE) (as printed: “ELIGIBLE WITH LEGAL-SCOPE QUALIFIER”)
- Verification state (coded)
- CONTENT_VERIFIED_PRIMARY
- Source type (coded)
- STANDARDS_BODY_PRIMARY
- Maturity (coded)
- EMERGING
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD06-SL-C25 | — |
| 2 | PUBLIC-FACING CLAIM | China’s national standard GB/T 45654-2025 for generative AI services sets a pass rate: at least 90% of sampled output must be free of 31 risk types; its reference appendix specifies a test bank of at least 2,000 questions, refusal of at least 95% of should-refuse questions, and refusal of no more than 5% of should-not-refuse questions. | — |
| 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 | State Administration for Market Regulation & Standardization Administration of China, GB/T 45654-2025, “Cybersecurity Technology — Basic Safety Requirements for Generative Artificial Intelligence Services,” issued 25 April 2025 (CSET English translation, 28 May 2026) | source_ids: SRC-SL-GB-T-45654-2025-CSET-TRANSLATION |
| 7 | SOURCE TYPE | National standard (English translation) | classes: STANDARDS_BODY_PRIMARY |
| 8 | INSTITUTIONAL POSITION | Chinese national standard (state issuers) | — |
| 9 | SCOPE | Generative AI services in China, especially those with public-opinion or social-mobilization capabilities | — |
| 10 | DESIGN | Technical standard for service providers, oversight departments and third-party evaluators | — |
| 11 | SAMPLE / DATASET | Not applicable | — |
| 12 | MODEL / TOOL / VERSION | Not applicable | — |
| 13 | COMPARATOR | None | — |
| 14 | MAIN RESULT | Qualified rate of at least 90% (clause 5.2); Appendix B, labelled for reference: keyword library of at least 10,000 entries, generated-content bank of at least 2,000 questions, refusal banks of at least 500 questions each, spot checks of at least 1,000 and 300 questions | — |
| 15 | INFERENTIAL TARGET | How a state writes evaluation into compliance as fixed test-bank thresholds | — |
| 16 | DOES NOT LICENSE | Any claim about enforcement; the translator notes it is unclear how enforceable the stricter measures are | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Read in English translation; the test-bank thresholds are in an appendix labelled for reference; filing practice was not read in primary sources | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | A different model from the EU code (LD06-SL-C24); SocioLens inference: the standard is addressed to providers, but Appendix B does not say who builds the banks, and it names third-party evaluators as users | — |
| 20 | GEOGRAPHY / LANGUAGE | China / English | — |
| 21 | DISTRIBUTIONAL LEDGER | The risk types include political and ideological categories | — |
| 22 | R01 / FIELD-MAP LINKS | LD-06, D4b | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Evidence on who builds the banks and how they are checked in practice | — |
| 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)
The sources as recorded, with their record IDs and coded source types:
Pinned Sources (field 6, version-specific)
- “State Administration for Market Regulation & Standardization Administration of China, GB/T 45654-2025, “Cybersecurity Technology — Basic Safety Requirements for Generative Artificial Intelligence Services,” issued 25 April 2025 (CSET English translation, 28 May 2026)” → State Administration for Market Regulation &… (SRC-SL-GB-T-45654-2025-CSET-TRANSLATION--v1.0) — State Administration for Market Regulation & Standardization Administration of China, GB/T 45654-2025, “Cybersecurity Technology — Basic Safety Requirements for Generative Artificial Intelligence Services,” issued 25 April 2025 (CSET English translation, 28 May 2026); class STANDARDS_BODY_PRIMARY (explicit public provenance pin)
Cited by Living Debate versions
Cite this page
SocioLens project. (2026, October 15). China’s national standard GB/T 45654-2025 for generative AI services sets a pass rate: at least 90% of sampled output must be free of 31 risk types; its reference appendix specifies a test bank of at least 2,000 questions, refusal of at least 95% of should-refuse questions, and refusal of no more than 5% of should-not-refuse questions [Claim LD06-SL-C25, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld06-sl-c25/v1.0/
@misc{sociolens_ld06_sl_c25_v1_0,
author = {{SocioLens project}},
title = {China’s national standard GB/T 45654-2025 for generative AI services sets a pass rate: at least 90\% of sampled output must be free of 31 risk types; its reference appendix specifies a test bank of at least 2,000 questions, refusal of at least 95\% of should-refuse questions, and refusal of no more than 5\% of should-not-refuse questions.},
year = {2026},
date = {2026-10-15},
howpublished = {\url{https://sociolens-web.pages.dev/claims/ld06-sl-c25/v1.0/}},
note = {Claim LD06-SL-C25, version v1.0}
}The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.
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 888f519496bb3b64d85c1821562bf05678e15e0c45e63c238a3fa9e585eb1753.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD06-SL-C25 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 25 — LD06-SL-C25” SHA-256
7fa9b6d35a0c032c4661de3972fbd182e6b55a728a7f30ca9012418c9e10de79; fixturefixtures/authored/claims/LD06-SL-C25--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-C25 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-C25 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-GB-T-45654-2025-CSET-TRANSLATION--v1.0 — basis: field 6 of ENTRY 25 — LD06-SL-C25 cites "State Administration for Market Regulation & Standardization Administration of China, GB/T 45654-2025, “Cybersecurity Technology — Basic Safety Requirements for Generative Artificial Intelligence Services,” issued 25 April 2025 (CSET English translation, 28 May 2026)"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-GB-T-45654-2025-CSET-TRANSLATION--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "State Administration for Market Regulation & Standardization Administration of China, GB/T 45654-2025, “Cybersecurity Technology — Basic Safety Requirements for Generative Artificial Intelligence Services,” issued 25 April 2025 (CSET English translation, 28 May 2026)".