Claim and evidence Close ×
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 risks include the opacity and lack of auditability of “black box” algorithms, and that the auditability of AI models used by banks might be difficult to achieve given model validation practices that require models to be explained to regulators. Copy claim link
Copy claim reference
Machine-checked Stated in source Supported
Supporting evidence: primary · 1 source
Date 2017-06-27 · publication Records dated 2017 → Role Earliest located Register (kind of text) Nonfiction 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 02 primary source Supports the claim
Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention ↗ Financial Stability Board · 2017-06-27
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “Key risks include the opacity and lack of auditability of algorithms (in case of “black boxes”) and undesired changes to market structure.” Location in source Annex G “Case study on AI and machine learning”, “Potential to undermine 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 (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 Supports the claim
Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention ↗ Financial Stability Board · 2017-06-27
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “Specifically, the “auditability” of the models might be difficult to achieve and not ensured in all cases.” 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 (17 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. 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-u04-fsb-2017-fintech-fs