Claim · 2022-03-16 · publication · Stated in source · Supported

The Basel Committee’s newsletter of 16 March 2022 on AI and machine learning states that AI/ML deployment, through large data sets, interconnectivity with third parties and cloud use, can create multiple possible points of cyber risk.

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

Newsletter on artificial intelligence and machine learning → articulates → AI increases cyber, fraud and operational risks in finance

Where it appears

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

Claim and evidence

Newsletter on artificial intelligence and machine learningarticulates ↓AI increases cyber, fraud and operational risks in finance

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2022-03-16 · publication Records dated 2022 →
Role: Articulation
Register (kind of text): Nonfiction

Scope and limitsThe newsletter states it is for information only and is not supervisory guidance; the passage concerns operational and cyber risk in banks, not fraud against customers.

The evidence 01

primary sourceSupports the claim

Newsletter on artificial intelligence and machine learning

Basel Committee on Banking Supervision (Bank for International Settlements) · 2022-03-16

Cite the original source

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

Source excerpt

“As AI/ML deployment often involves the use of large data sets, interconnectivity with third parties, and the use of cloud technologies, it can also create multiple possible points of cyber risk.”

Location in source Second paragraph of the main text, beginning ‘In its discussions to date’

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Basel Committee on Banking Supervision
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 0e5a87118e3a65f3652f09495afbf43b216cdca2c2bd058d80e04e85af1c1d92). Retrieved again at admission on 2026-11-06 (same file). BIS HTML page as served on 2026-11-02 (requested at https://www.bis.org/publ/bcbs_nl27.htm, redirected)
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Basel Committee on Banking Supervision, “Newsletter on artificial intelligence and machine learning”, 2022-03-16.
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 (31 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-u03-bcbs-2022-newsletter-aiml