Claim · 2019-06-04 · event · Stated in source · Supported

In a speech of 4 June 2019, James Proudman, Executive Director of UK Deposit Takers Supervision at the Bank of England, said that AI and machine learning are helping firms in anti-money laundering and fraud detection and that machine learning may also improve the quality of credit risk assessments.

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

Managing Machines: the governance of artificial intelligence → 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

Managing Machines: the governance of artificial intelligencearticulates ↓AI can improve financial firms’ risk management

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2019-06-04 · event Records dated 2019 →
Role: Articulation
Register (kind of text): Nonfiction

Scope and limitsThe speech relies in part on survey evidence from firms and an IIF survey; it also turns to the risks. Not an evaluation of firms’ risk outcomes.

The evidence 02

primary sourceSupports the claim

Managing Machines: the governance of artificial intelligence

Bank of England · 2019-06-04

Cite the original source

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

Source excerpt

“For example, AI and ML are helping firms in anti-money laundering (AML) and fraud detection.”

Location in source PDF p. 3 (printed p. 3)

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: James Proudman
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 7a2e55aa3851b42e2e700d47f6b612a26d2c2d704671a81fd365ca86f1bf72f6). Retrieved again at admission on 2026-11-06 (same file). PDF of the speech text as published by the Bank of England (served without a .pdf extension)
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: James Proudman, “Managing Machines: the governance of artificial intelligence”, 2019-06-04.
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 (15 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 sourceSupports the claim

Managing Machines: the governance of artificial intelligence

Bank of England · 2019-06-04

Cite the original source

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

Source excerpt

“ML may also improve the quality of credit risk assessments, particularly for high-volume retail lending”

Location in source PDF p. 3 (printed p. 3)

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: James Proudman
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 7a2e55aa3851b42e2e700d47f6b612a26d2c2d704671a81fd365ca86f1bf72f6). Retrieved again at admission on 2026-11-06 (same file). PDF of the speech text as published by the Bank of England (served without a .pdf extension)
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: James Proudman, “Managing Machines: the governance of artificial intelligence”, 2019-06-04.
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 (15 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 the speech or remarks were delivered, as the text gives it.

Record ID am-u10-boe-2019-proudman-managing-machines