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Practitioners — Company Secretaries · Last updated 11 Jun 2026 · Hallucination Register
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Finding#4 . 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 Company Secretaries:Regulatory enforcement / professional liability exposure
What the RLB Specialist Panel found

Finding#4 . 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 Company Secretaries: Professional liability and regulatory enforcement exposure where the FCA's text resolves the question differently Company secretaries reviewing the annual Consumer Duty board report's fair-value section need to ensure the methodology described in the paper matches the FCA's actual expectation. If the AI's affirmative quantification framing reaches the board pack, the board approves a methodology that exceeds what FG22/5 requires, and the firm carries an unnecessary methodological commitment that will be hard to unwind.
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Impact for Company Secretaries in the United Kingdom advising on the Consumer Duty (PS22/9 + PRIN 2A)

Company secretaries reviewing the annual Consumer Duty board report's fair-value section need to ensure the methodology described in the paper matches the FCA's actual expectation. If the AI's affirmative quantification framing reaches the board pack, the board approves a methodology that exceeds what FG22/5 requires, and the firm carries an unnecessary methodological commitment that will be hard to unwind.

References — raw findings (per AI model)
This finding also affects
← Previous finding Finding#3 . Confused FG22/5 guidance with PRIN 2A.5 rule on consumer testing Next finding → Finding#5 . Split FS25/2 single-event withdrawal into invented April/August 2025 events
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#4 . Inverted FG22/5 on fair-value quantification for non-monetary benefits — Practitioners — Company Secretaries." 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/practitioners/company-secretaries/finding/GB-FCA-GB-001-CONSUMER-DUTY-PS22-9-v1-008/
APA 7th edition Download
RegLeg Specialist Panel. (2026). Finding#4 . 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/practitioners/company-secretaries/finding/GB-FCA-GB-001-CONSUMER-DUTY-PS22-9-v1-008/
Bluebook / OSCOLA (US + UK legal) Download
RegLeg Specialist Panel, Finding#4 . 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/practitioners/company-secretaries/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#4 . 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/practitioners/company-secretaries/finding/GB-FCA-GB-001-CONSUMER-DUTY-PS22-9-v1-008/}
}
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