What share of Ireland's 2021 metered electricity did data centres account for, per the figure cited in the OECD Digital Economy Outlook 2024 chapter (sourced from Ireland's CSO 2023)?
The model correctly identified the source chain, CSO 2023 as cited in the OECD Digital Economy Outlook 2024, but substituted 14% for the regulator's 11%. It then extended the response with a forward-projected series (18% in 2022, 21% in 2023) that is not present in the regulator's text, suggesting the model reconstructed a plausible growth trajectory rather than quoting the authoritative figure. The error is not a misidentified source but a numeric value that has drifted at the point of reproduction.
This finding implicates two distinct subsystems. First, the retrieval layer correctly surfaced the source lineage (CSO 2023 via OECD Digital Economy Outlook 2024) but the numeric payload at the point of generation drifted — suggesting the training corpus contains multiple paraphrased variants of this figure and the model resolved the conflict toward a higher value present in secondary commentary rather than the verbatim primary text.
Second, the forward-series confabulation (18% in 2022, 21% in 2023) indicates the model's generation logic treats trend continuation as a low-uncertainty extension when an anchor year and growth direction are established in context — a calibration gap that is independent of retrieval quality and would require a post-generation verification step or explicit uncertainty injection to close.
A Professional Engineers who uses this AI response as a research shortcut will embed a wrong baseline statistic, 14% rather than the verbatim 11%, into a technical annex, environmental impact assessment, or policy submission, attributed to a real and reputable source chain (CSO 2023 via OECD Digital Economy Outlook 2024). The fabricated time-series (5% → 14% → 18% → 21%) compounds the risk: it reads as contextual corroboration and would not be detected without independently verifying each year against the primary document.
In a formal process, planning approval, grid operator consultation, regulatory submission, a misattributed statistic of this kind is the type of error that surfaces under technical cross-examination and reflects on the engineer's verification practice, not merely their choice of tool.
Each finding has a stable Citation ID (RLB-F-… for aggregated case-study findings, RLB-H-… for raw per-model hallucinations) — like a DOI, the ID always resolves to the canonical finding even if URLs change.
RegLeg Specialist Panel. (2026). Finding#1, Ireland 2021 data-centre electricity share, fabricated figure and invented time-series [Hallucination finding RLB-F-INT-OECD-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-Q006]. RegLegBrief AI Hallucination Research. https://reglegbrief.com/regulators/j1/int/OECD/OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025/practitioners/professional-engineers/finding/INT-OECD-INT-001-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-v1-006/
RegLeg Specialist Panel (2026). "Finding#1, Ireland 2021 data-centre electricity share, fabricated figure and invented time-series — Practitioners — Professional Engineers." Citation ID: RLB-F-INT-OECD-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-Q006. RegLegBrief AI Hallucination Research, published 2026-06-11. https://reglegbrief.com/regulators/j1/int/OECD/OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025/practitioners/professional-engineers/finding/INT-OECD-INT-001-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-v1-006/
RegLeg Specialist Panel, Finding#1, Ireland 2021 data-centre electricity share, fabricated figure and invented time-series [RLB-F-INT-OECD-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-Q006], RegLegBrief AI Hallucination Research (June 11, 2026), https://reglegbrief.com/regulators/j1/int/OECD/OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025/practitioners/professional-engineers/finding/INT-OECD-INT-001-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-v1-006/.
@misc{reglegbrief_RLB_F_INT_OECD_OECD_DIGITAL_TECHNOLOGIES_ENVIRONMENT_2025_Q006,
author = {RegLeg Specialist Panel},
title = {Finding#1, Ireland 2021 data-centre electricity share, fabricated figure and invented time-series},
year = {2026},
publisher = {RegLegBrief AI Hallucination Research},
note = {Hallucination finding Citation ID: RLB-F-INT-OECD-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-Q006},
url = {https://reglegbrief.com/regulators/j1/int/OECD/OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025/practitioners/professional-engineers/finding/INT-OECD-INT-001-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-v1-006/}
}
Every finding on this page compares an AI subject's account of the rule against the regulator's verbatim text from the regulator's own portal. Both are linked. Each delta, its root causes, and impact analysis are documented and published with immutable Citation IDs.