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The FSB report of 27 June 2017 on financial stability implications from FinTech states, in its case study on AI and machine learning, that key potential benefits include applications of AI and machine learning in supervision, and that AI and machine learning can aid supervision by identifying new relationships in data. Copy claim link
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Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2017-06-27 · publication Records dated 2017 → Role Articulation, Earliest located use of the name Register (kind of text) Nonfiction Name used “suptech” Scope and limits A statement of what the text says, not evidence that the risk has materialised or that any authority has adopted a policy. The annex describes its findings as preliminary.
The evidence 03 primary source Supports the claim
Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention ↗ Financial Stability Board · 2017-06-27
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Source excerpt “Key potential benefits include various applications of AI and machine learning in supervision, internal audit and regulatory reporting, as well as the ability to better monitor risks.” Location in source Annex G, “Potential to support financial stability”, PDF p. 60 (printed p. 56)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Financial Stability Board Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 700f5d772032e790ff4e67d7d6f5941584a427678ef23a56e7b9407d0c827243). Retrieved again at admission on 2026-11-06 (same file). PDF dated 27 June 2017 as served by fsb.org on 2026-11-02 (requested at the wp-content address, redirected to /uploads/R270617.pdf) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Financial Stability Board, “Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention”, 2017-06-27. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (27 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review. primary source Supports the claim
Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention ↗ Financial Stability Board · 2017-06-27
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Source excerpt “AI and machine learning can aid supervision by allowing the identification of new relationships in data, without the filter of pre-specified models.” Location in source Same paragraph, PDF p. 60 (printed p. 56)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Financial Stability Board Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 700f5d772032e790ff4e67d7d6f5941584a427678ef23a56e7b9407d0c827243). Retrieved again at admission on 2026-11-06 (same file). PDF dated 27 June 2017 as served by fsb.org on 2026-11-02 (requested at the wp-content address, redirected to /uploads/R270617.pdf) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Financial Stability Board, “Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention”, 2017-06-27. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (22 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review. primary source Context only
Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention ↗ Financial Stability Board · 2017-06-27
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Source excerpt “There is also a close link with “SupTech,” or the use of FinTech by supervisory authorities.” Location in source Glossary, entry “RegTech”, PDF p. 38
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Financial Stability Board Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 700f5d772032e790ff4e67d7d6f5941584a427678ef23a56e7b9407d0c827243). Retrieved again at admission on 2026-11-06 (same file). PDF dated 27 June 2017 as served by fsb.org on 2026-11-02 (requested at the wp-content address, redirected to /uploads/R270617.pdf) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Financial Stability Board, “Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention”, 2017-06-27. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (16 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. A glossary definition that does not mention AI; recorded only for the earliest located use of the name. No human editorial review. Status and meaning Editorial status. Machine-checked . Machines found this record and checked it against its sources; no person accepted it individually. Each evidence record above shows how it was checked.
Relation. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.
Date. Date of publication, as the text gives it.
Record ID am-u09-fsb-2017-fintech-fs