Claim · 2019-10 · publication · Stated in source · Supported

The Bank of England and Financial Conduct Authority report of October 2019 states that the deployment of machine learning could reduce risks, for example by increasing the effectiveness of fraud detection and AML processes and through better risk assessment and management.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Machine learning in UK financial services → articulates → AI can improve financial firms’ risk management

Where it appears

AI and money: what central banks and financial authorities have said, 1997–2026 →

Claim and evidence

Machine learning in UK financial servicesarticulates ↓AI can improve financial firms’ risk management

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2019-10 · publication Records dated 2019 →
Role: Articulation
Register (kind of text): Nonfiction

Scope and limitsStated as potential in a box on supervision; the report’s survey also records firms’ perceived benefits. Not evidence of realised improvements.

The evidence 01

primary sourceSupports the claim

Machine learning in UK financial services

Bank of England and Financial Conduct Authority · 2019-10

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“However, the deployment of ML could also reduce risks. For instance, ML has the potential to reduce human bias, support the identification of market abuse practices, increase the effectiveness and efficiency of fraud detection and AML processes, as well as lead to better risk assessment and management.”

Location in source PDF p. 14 (printed p. 14), Box 3

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Bank of England and Financial Conduct Authority
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 1fa095e2568125819b36ccdfaab74777f82c07aa7b2e9ee6e2a80379cf8abac1). Retrieved again at admission on 2026-11-06 (same file). PDF of the joint report, October 2019, as served on 2026-11-02
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Bank of England and Financial Conduct Authority, “Machine learning in UK financial services”, 2019-10.
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 (47 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-u10-boe-2019-ml-survey