Claim · 2024-02-26 · publication · Stated in source · Supported

In an article for Revue Banque of 26 February 2024, Elizabeth McCaul, Member of the Supervisory Board of the ECB, wrote that supervisors should use AI to enhance internal supervisory capabilities and gain insight into risks at banks that deploy AI, describing AI applications such as Athena and generative-AI proofs of concept.

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

From data to decisions: AI and supervision → articulates → Supervisors should use AI

Where it appears

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

Claim and evidence

From data to decisions: AI and supervisionarticulates ↓Supervisors should use AI

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2024-02-26 · publication Records dated 2024 →
Role: Articulation
Register (kind of text): Nonfiction

Scope and limitsThe article also states that the tools do not replace supervisors and names the “black box” risk; it describes tools and intentions, not an evaluation of supervisory outcomes. No views disclaimer was found on the page.

The evidence 02

primary sourceSupports the claim

From data to decisions: AI and supervision

European Central Bank (Banking Supervision) · 2024-02-26

Cite the original source

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

Source excerpt

“We should use it to enhance our internal supervisory capabilities and gain greater insights into the risks facing supervised banks as they, in turn, also deploy AI.”

Location in source Paragraph beginning “The short answer”

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Elizabeth McCaul
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 ace13d07a4761dabf6fba1fe3c028363755bfaa963691f9e2ce8037b35941159). Retrieved again at admission on 2026-11-06 (SHA-256 2b759a06d3a71effa6e1478f08ac698fe814a9fe401a680f81dc8e23f073e758; web pages are served with new markup on each request). HTML of the article as published on the ECB Banking Supervision site, served on 2026-11-02
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Elizabeth McCaul, “From data to decisions: AI and supervision”, 2024-02-26.
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. Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review.

primary sourceSupports the claim

From data to decisions: AI and supervision

European Central Bank (Banking Supervision) · 2024-02-26

Cite the original source

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

Source excerpt

“In the field of textual analysis, for example, our Athena application translates and analyses the content of supervisory documents.”

Location in source Paragraph beginning “Currently, our AI applications”

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Elizabeth McCaul
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 ace13d07a4761dabf6fba1fe3c028363755bfaa963691f9e2ce8037b35941159). Retrieved again at admission on 2026-11-06 (SHA-256 2b759a06d3a71effa6e1478f08ac698fe814a9fe401a680f81dc8e23f073e758; web pages are served with new markup on each request). HTML of the article as published on the ECB Banking Supervision site, served on 2026-11-02
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Elizabeth McCaul, “From data to decisions: AI and supervision”, 2024-02-26.
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 (19 words) matched a fresh retrieval of 2026-11-06. 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-u09-ssm-2024-mccaul-data-to-decisions