Claim LD03-SL-C10 (v1.0)
The authors of a survey of 576 public managers in seven EU member states describe public servants using generative AI to draft reports, refine policy proposals and generate content, often without explicit approval or institutional policies, which they call 'shadow use'; the abstract does not say how much of this the survey itself measured.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Do generative-AI deployments in government improve services, not just staff time?Public managers in seven EU member states use generative AI to draft reports and policy proposals, often without explicit approval or institutional policy.
- Do organizations' AI policies match what their staff actually do with AI?EU public managers use generative AI often without explicit approval or institutional policy ('shadow use').
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
- Does not license
- Its prevalence by country; effects on output or services
- Source (field 6, as printed)
- Tangi, Rodriguez Müller & Combetto, “A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations,” Electronic Participation (ePart 2025), LNCS
- Source type (field 7)
- PEER_REVIEWED_CONFERENCE_PAPER (as printed: “Peer-reviewed conference paper”)
- Institutional position
- Not checked
- 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--LD03-SL-C10.
Pinned Sources (field 6, version-specific)
- “Tangi, Rodriguez Müller & Combetto, “A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations,” Electronic Participation (ePart 2025), LNCS” → SRC-SL-TANGI-RODRIGUEZ-MULLER-COMBETTO-EPART-2025--v1.0 — Tangi, Rodriguez Müller & Combetto, “A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations,” Electronic Participation (ePart 2025), LNCS; class PEER_REVIEWED_CONFERENCE_PAPER (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 | LD03-SL-C10 | — |
| 2 | PUBLIC-FACING CLAIM | The authors of a survey of 576 public managers in seven EU member states describe public servants using generative AI to draft reports, refine policy proposals and generate content, often without explicit approval or institutional policies, which they call 'shadow use'; the abstract does not say how much of this the survey itself measured. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | E — Organizational practice and decoupling | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Tangi, Rodriguez Müller & Combetto, “A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations,” Electronic Participation (ePart 2025), LNCS | source_ids: SRC-SL-TANGI-RODRIGUEZ-MULLER-COMBETTO-EPART-2025 |
| 7 | SOURCE TYPE | Peer-reviewed conference paper | classes: PEER_REVIEWED_CONFERENCE_PAPER |
| 8 | INSTITUTIONAL POSITION | Not checked | — |
| 9 | SCOPE | Public administrations in seven EU member states | — |
| 10 | DESIGN | Survey | — |
| 11 | SAMPLE / DATASET | 576 public managers | — |
| 12 | MODEL / TOOL / VERSION | Generative AI tools in general | — |
| 13 | COMPARATOR | None | — |
| 14 | MAIN RESULT | Generative-AI use for drafting, policy refinement and content generation, often without explicit approval or institutional policy ('shadow use') | — |
| 15 | INFERENTIAL TARGET | Whether generative-AI use in public administration runs ahead of formal adoption | — |
| 16 | DOES NOT LICENSE | Its prevalence by country; effects on output or services | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED ABSTRACT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Checked against the official abstract only, read in the Crossref record on 15 October 2026; the countries and the share of shadow use were not read; the authors' affiliation with the European Commission's Joint Research Centre was not confirmed | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Consistent with US survey evidence that worker use runs ahead of firm adoption | — |
| 20 | GEOGRAPHY / LANGUAGE | EU / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Not analysed in this claim | — |
| 22 | R01 / FIELD-MAP LINKS | LD-03, D2 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Full-text figures on how common unapproved use is | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH QUALIFIER | state: ELIGIBLE · qualifiers: QUALIFIED |
| 25 | RECORDED DATE | 2026-10-15 | — |
Field 22 references resolved against Field Map v0.2: LD-03 (LIVING_DEBATE); D2 (DOMAIN)
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 3956c215347e53b4f25b5ec21537764c2e463dd15d3fa6da9ee8e56686aaec31.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD03-SL-C10 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-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts. Block “ENTRY 10 — LD03-SL-C10” SHA-256
5c64198443052c2b3a4fe1870824e18750d815ccdad6a14937dcc0ad223d9e76; fixturefixtures/authored/claims/LD03-SL-C10--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD03-SL-C10 v1.0); the first version of a new Claim of the LD-03 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD03-SL-C10 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-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-TANGI-RODRIGUEZ-MULLER-COMBETTO-EPART-2025--v1.0 — basis: field 6 of ENTRY 10 — LD03-SL-C10 cites "Tangi, Rodriguez Müller & Combetto, “A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations,” Electronic Participation (ePart 2025), LNCS"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-TANGI-RODRIGUEZ-MULLER-COMBETTO-EPART-2025--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Tangi, Rodriguez Müller & Combetto, “A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations,” Electronic Participation (ePart 2025), LNCS".