Claim · 2022-05-19 · event · Stated in source · Supported

In a speech of 19 May 2022, Joachim Wuermeling of the Deutsche Bundesbank said that the results of the Bundesbank–BaFin consultation make clear that machine learning does not need its own new set of rules, and that the current technology-neutral and risk-oriented approach should provide a general framework for it.

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 risk models – brontobytes and Brontosauruses → articulates → Existing financial rules broadly cover AI

Where it appears

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

Claim and evidence

Machine learning in risk models – brontobytes and Brontosaurusesarticulates ↓Existing financial rules broadly cover AI

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2022-05-19 · event Records dated 2022 →
Role: Articulation
Register (kind of text): Nonfiction

Scope and limitsConcerns machine learning in banks’ and insurers’ risk models; the speaker’s office is not printed on the retrieved page. No views disclaimer was found on the page.

The evidence 02

primary sourceSupports the claim

Machine learning in risk models – brontobytes and Brontosauruses

Deutsche Bundesbank · 2022-05-19

Cite the original source

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

Source excerpt

“the results of the consultation also make it clear that ML does not need its own new set of rules.”

Location in source Section 3 “Supervisory approaches: a question of characteristics and explainability”

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Joachim Wuermeling
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 6a594169cd5f3e46d0f843be6936980ea7de4e6c8f5e27e07f27519b58c1d4b0). Retrieved again at admission on 2026-11-06 (SHA-256 e1bce00ea78b22aa484f6f4ce9e54cf601f484e102ee4d09068e2607b3c3a111; web pages are served with new markup on each request). HTML speech page (English) as served on 2026-11-02; marked “Check against delivery”
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Joachim Wuermeling, “Machine learning in risk models – brontobytes and Brontosauruses”, 2022-05-19.
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 (20 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

Machine learning in risk models – brontobytes and Brontosauruses

Deutsche Bundesbank · 2022-05-19

Cite the original source

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

Source excerpt

“I believe that the current technology-neutral and risk-oriented regulatory approach should also stake out a general framework for ML.”

Location in source Same section

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Joachim Wuermeling
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 6a594169cd5f3e46d0f843be6936980ea7de4e6c8f5e27e07f27519b58c1d4b0). Retrieved again at admission on 2026-11-06 (SHA-256 e1bce00ea78b22aa484f6f4ce9e54cf601f484e102ee4d09068e2607b3c3a111; web pages are served with new markup on each request). HTML speech page (English) as served on 2026-11-02; marked “Check against delivery”
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Joachim Wuermeling, “Machine learning in risk models – brontobytes and Brontosauruses”, 2022-05-19.
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 the speech or remarks were delivered, as the text gives it.

Record ID am-u12-buba-2022-wuermeling-brontobytes