Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention
Report published by the Financial Stability Board as its own text. Dated 2017-06-27.
- Issued by
- No issuing record yet. A missing record is a gap in coverage.
- Authors credited
- No authorship claim recorded yet. The source record lists Financial Stability Board.
- Dates
- No date claim recorded yet. The source record gives the publication date as 2017-06-27.
- Exact source
- Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention Financial Stability Board · published 2017-06-27 · 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)
- Earliest located in AI and money: what central banks and financial authorities have said, 1997–2026 for J04 The opacity of AI models complicates risk management and supervision →
- Earliest located use of the name “suptech” in AI and money: what central banks and financial authorities have said, 1997–2026 for J09 Supervisors should use AI →
Appears in
- AI and money: what central banks and financial authorities have said, 1997–2026 →4 records on this document
Versions
No other versions of this document are recorded. The evidence applies to the source version listed above. Other versions, such as a preprint, working paper or journal publication, are not identified or substituted.
Documentary relations
Each relation is listed separately. Citing, crediting and reporting the use of a method are different acts, and none of them shows agreement or influence by itself.
Articulates · 3
Propositions whose criterion a passage of this document meets. The record says what the text states, in its register; it is not evidence that the proposition is true.
- The opacity of AI models complicates risk management and supervisionThe 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.2017-06-27 · publication · Stated in source · Supported Inspect claim & evidence ↗The opacity of AI models complicates risk management and supervision: propositions page →
- Supervisors should use AIThe 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.2017-06-27 · publication · Stated in source · Supported Inspect claim & evidence ↗Supervisors should use AI: propositions page →
- AI can improve financial firms’ risk managementThe FSB report of 27 June 2017 on financial stability implications from FinTech states that some firms use AI for anti-money-laundering and fraud detection, that firms can use machine learning for credit monitoring and risk mitigation, and that these applications can help institutions better manage risks.2017-06-27 · publication · Stated in source · Supported Inspect claim & evidence ↗AI can improve financial firms’ risk management: propositions page →
Bears on · 1
Propositions a passage comes close to without meeting the criterion; each record names what is missing.
- AI raises financial-stability risks through correlated behaviourThe FSB report of 27 June 2017 on financial stability implications from FinTech states that social trading and robo-advice could show greater herding behaviour than traditional portfolio allocation if risk models are highly correlated through reliance on similar algorithms, and notes that it found no empirical evidence so far of convergence of robo-advisors’ algorithms or portfolios.2017-06-27 · publication · Stated in source · Supported Inspect claim & evidence ↗AI raises financial-stability risks through correlated behaviour: propositions page →
Not recorded for this document: cites · cited by · explicitly credits · reports using a method from · method reported as used by · applies parts of · parts applied by · discusses · reports evaluation of. A missing record does not show that the relation does not exist.