Payment Institutions × Risk — United Kingdom · Last updated 11 Jun 2026 · Hallucination Register

Finding#2 . Inverted FG22/5 on fair-value quantification for non-monetary benefits

RLB Citation ID: RLB-F-GB-FCA-CONSUMER-DUTY-PS22-9-Q008

AI's failure:Inference Drift Risk for Payment Institutions × Risk:Regulatory enforcement / professional liability exposure

What the RLB Specialist Panel found

Finding#2 . Inverted FG22/5 on fair-value quantification for non-monetary benefits

Citation ID: RLB-H-GB-FCA-CONSUMER-DUTY-PS22-9-Q008-Opus47
AI's failure: AI inverted a regulator negative into an affirmative methodological requirement
Risk for Risk x Payment Institutions: Regulatory enforcement and operational-decision exposure where the FCA's text resolves the question differently Payment Institutions risk teams reviewing fair-value assessment outputs need the FG22/5 qualitative-only standard preserved. The model's reversal would push the risk function to demand quantitative analysis the FCA has expressly not required.
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Impact for Risk Teams in Payment Institutions Sector in the United Kingdom working with the Consumer Duty (PS22/9 + PRIN 2A)

Payment Institutions risk teams reviewing fair-value assessment outputs need the FG22/5 qualitative-only standard preserved. The model's reversal would push the risk function to demand quantitative analysis the FCA has expressly not required.

References — raw findings (per AI model)

RLB-H-GB-FCA-CONSUMER-DUTY-PS22-9-Q008-Opus47 Claude Opus 4.7 (web search on)
RLB-H-GB-FCA-CONSUMER-DUTY-PS22-9-Q008-Sonnet46 Claude Sonnet 4.6 (web search on)

This finding also affects

← Previous finding Finding#1 . Fabricated multi-part safe harbour for foreseeable-harm rule Next finding → Finding#3 . Imposed substantiated-comparison expectation FG22/5 does not require

Cite this finding

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.

RLB Citation ID: RLB-F-GB-FCA-CONSUMER-DUTY-PS22-9-Q008

Plain text Download

RegLeg Specialist Panel (2026). "Finding#2 . Inverted FG22/5 on fair-value quantification for non-monetary benefits — Payment Institutions × Risk — United Kingdom." Citation ID: RLB-F-GB-FCA-CONSUMER-DUTY-PS22-9-Q008. RegLegBrief AI Hallucination Research, published 2026-06-11. https://reglegbrief.com/regulators/j3/gb/FCA/CONSUMER-DUTY-PS22-9/sectors/payment_institutions/risk/finding/GB-FCA-GB-001-CONSUMER-DUTY-PS22-9-v1-008/

APA 7th edition Download

RegLeg Specialist Panel. (2026). Finding#2 . Inverted FG22/5 on fair-value quantification for non-monetary benefits [Hallucination finding RLB-F-GB-FCA-CONSUMER-DUTY-PS22-9-Q008]. RegLegBrief AI Hallucination Research. https://reglegbrief.com/regulators/j3/gb/FCA/CONSUMER-DUTY-PS22-9/sectors/payment_institutions/risk/finding/GB-FCA-GB-001-CONSUMER-DUTY-PS22-9-v1-008/

Bluebook / OSCOLA (US + UK legal) Download

RegLeg Specialist Panel, Finding#2 . Inverted FG22/5 on fair-value quantification for non-monetary benefits [RLB-F-GB-FCA-CONSUMER-DUTY-PS22-9-Q008], RegLegBrief AI Hallucination Research (June 11, 2026), https://reglegbrief.com/regulators/j3/gb/FCA/CONSUMER-DUTY-PS22-9/sectors/payment_institutions/risk/finding/GB-FCA-GB-001-CONSUMER-DUTY-PS22-9-v1-008/.

BibTeX Download

@misc{reglegbrief_RLB_F_GB_FCA_CONSUMER_DUTY_PS22_9_Q008,
  author    = {RegLeg Specialist Panel},
  title     = {Finding#2 . Inverted FG22/5 on fair-value quantification for non-monetary benefits},
  year      = {2026},
  publisher = {RegLegBrief AI Hallucination Research},
  note      = {Hallucination finding Citation ID: RLB-F-GB-FCA-CONSUMER-DUTY-PS22-9-Q008},
  url       = {https://reglegbrief.com/regulators/j3/gb/FCA/CONSUMER-DUTY-PS22-9/sectors/payment_institutions/risk/finding/GB-FCA-GB-001-CONSUMER-DUTY-PS22-9-v1-008/}
}

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