AI mis-frames CPMI-IOSCO d226 effective practices as supervisory or mandatory obligations when the report itself describes them as non-binding examples of how PFMI standards can be met.
Executive Summary
Lawyers advising central counterparties, clearing members, and asset managers on variation margin obligations are increasingly using AI to draft board memos on CPMI-IOSCO d226, classify the legal status of each effective practice for the Audit and Risk Committee, validate cross-references between d226 and the underlying PFMI Principles, and prepare partner-level briefings on whether national regulators will treat the document as a supervisory expectation or as non-binding guidance. Leading AI assistants tested by the RLB Specialist Panel produced confident, citable answers on the binding force of d226 that the document itself directly contradicts.
This cell collects one hallucination finding on the January 2025 CPMI-IOSCO publication "Streamlining variation margin in centrally cleared markets, examples of effective practices" (d226), organised for lawyers working on CPMI-IOSCO VM matters in international and cross-border contexts. Across the finding, the AI subject in this audit produced a confident, citable response on the legal status of the eight effective practices in d226 that the document itself directly contradicts.
The Specialist Panel found that the AI classified each practice as a supervisory expectation or as carrying mandatory overlap with national rules, when the document's own stated purpose paragraph records it as "examples of how standards set out in the CPMI-IOSCO Principles for financial market infrastructures, as supplemented by the relevant guidance, can be met." Every finding in this cell is bound to verbatim regulator-issued source text held as primary substrate by the RLB Specialist Panel.
When this affects lawyers work
This pattern surfaces whenever lawyers use AI to characterise the binding force of d226 in compliance obligations memos, board-level briefings, and counterparty-facing legal opinions. The risk is structural: d226 is a CPMI-IOSCO publication that frames itself as voluntary effective-practice illustration, yet the AI's commitment reads as a supervisory or mandatory classification that a practitioner would paste into a deliverable before verification against the source. The deliverable then carries forward an inverted modality on binding force into downstream work products.
Findings overview
| # | Finding title | Type | Citation ID |
|---|---|---|---|
| 1 | Inverted modality on binding force | Misstated rule | RLB-H-INT-BIS-CPMI-CPMI-IOSCO-VARIATION-MARGIN-CCPs-2025-Q004-Opus47 |
What the AI got wrong
Finding 1: Inverted modality on binding force of d226 effective practices
Citation ID: RLB-H-INT-BIS-CPMI-CPMI-IOSCO-VARIATION-MARGIN-CCPs-2025-Q004-Opus47
In response to a Specialist Panel application-style question asking for a compliance obligations memo classifying each of the eight effective practices in d226 as either (A) MANDATORY REQUIREMENT, (B) SUPERVISORY EXPECTATION, or (C) VOLUNTARY GUIDANCE, the AI subject produced a complete memo that treated every one of the eight effective practices as either a supervisory expectation in its own right or as overlapping with mandatory national rules.
The memo opened with a threshold classification that placed d226 in category (C) but immediately added "a strong gravitational pull into (B) SUPERVISORY EXPECTATION because the underlying PFMIs are the de facto binding standard against which CCPs are supervised," then classified each practice individually under (B), (B) trending (C), (B) with (A) elements, or similar mixed labels.
The document's own stated purpose paragraph, by contrast, records that d226 sets out "examples of how standards set out in the CPMI-IOSCO Principles for financial market infrastructures, as supplemented by the relevant guidance, can be met." The text is illustrative of one way the underlying PFMI standards can be met, and is not a new layer of supervisory expectation or mandatory rule. The AI subject's framing inverts that modality: it converts a voluntary illustration into a baseline supervisory expectation, with each practice acquiring its own binding-force overlay.
The Specialist Panel records this as a misstated-rule finding because the AI's commitment on the legal status of d226 contradicts the document's own characterisation of itself. The full finding analysis, including the verbatim regulator text, the AI subject's complete answer, and the AI's failure mode classification, is at See full finding analysis.
Partner-level memos and board briefings that classify d226 practices as supervisory expectations or mandatory obligations create disclosure exposure to clients, audit committees, and counterparties who rely on the legal characterisation to size implementation budgets, draft rulebook amendments, and respond to supervisory dialogue.
AI's failure mode
| # | Finding title | Type | Citation ID |
|---|---|---|---|
| 1 | Inverted modality on binding force | Misstated rule | RLB-H-INT-BIS-CPMI-CPMI-IOSCO-VARIATION-MARGIN-CCPs-2025-Q004-Opus47 |
Risk impact
| # | Finding title | Type | Citation ID |
|---|---|---|---|
| 1 | Inverted modality on binding force | Misstated rule | RLB-H-INT-BIS-CPMI-CPMI-IOSCO-VARIATION-MARGIN-CCPs-2025-Q004-Opus47 |
What lawyers teams should do
- Treat any AI-generated classification of d226 effective practices as binding, supervisory, or mandatory as a flag for direct verification against the document's own "examples of how standards … can be met" framing.
- When advising on d226 implementation, separate the document's own legal status (voluntary illustration of PFMI compliance pathways) from the binding force of the PFMI Principles themselves and from any national rulebook that incorporates a specific practice.
- Maintain a verified extract of d226's stated purpose paragraph in the firm's regulatory text repository so junior associates can cross-check AI-drafted memos against the regulator's own characterisation.
- When clients ask for jurisdictional treatment of d226, give a separate analysis for each national supervisor's stance rather than treating the BIS publication as a global mandate.
- Flag d226-related AI outputs for senior partner review before any client-circulated work product references binding force.
Right of Reply
These findings and associated work have been put up in public with a view of the greater good for the development of a safer AI ecosystem. Any party reading this or any finding on reglegbrief.com may contact us and have an unconditional right of reply; the Specialist Panel will publish any factual correction or contextual response alongside the original finding, with no editorial gatekeeping. Researchers, regulators, and compliance teams with questions on methodology or specific findings can reach the Specialist Panel via the same channel.
Source & Methodology Standards
RegLeg Brief is operated by Verdus Technologies Pte. Ltd. (UEN 201616982R), incorporated in Singapore. The RLB Specialist Panel, with an aggregate of over 60 years of public-policy and industry experience, documents only confirmed hallucination findings, under a methodology that requires a verbatim regulator excerpt for every documented claim. All findings, citation IDs, model outputs, regulator excerpts, and methodology notes are open-access.
Primary source verified: d226 — Streamlining variation margin in centrally cleared markets — examples of effective practices (January 2025). R-folder reference: R6-FINAL_REPORT-00001. BIS portal: bis.org/cpmi.
Citation IDs referenced:
RLB-H-INT-BIS-CPMI-CPMI-IOSCO-VARIATION-MARGIN-CCPs-2025-Q004-Opus47