Claim · 2026-05-21 · publication · Stated in source · Supported

In a speech published on 21 May 2026, Ida Wolden Bache, Governor of Norges Bank, said that Norges Bank is exploring how AI and machine learning can be applied in its modelling system, that preliminary results are promising, and that machine learning can help improve forecasting models.

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

Research-based models in monetary policy decision-making → articulates → AI can improve nowcasting and policy analysis

Where it appears

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

Claim and evidence

Research-based models in monetary policy decision-makingarticulates ↓AI can improve nowcasting and policy analysis

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2026-05-21 · publication Records dated 2026 →
Role: Articulation
Register (kind of text): Nonfiction

Scope and limitsThe speaker’s account of work in progress at Norges Bank; preliminary results, not an adopted model. No disclaimer is printed on the page.

The evidence 02

primary sourceSupports the claim

Research-based models in monetary policy decision-making

Norges Bank · 2026-05-21

Cite the original source

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

Source excerpt

“We are currently exploring how artificial intelligence and machine learning can be applied in the modelling system. Preliminary results are promising.”

Location in source Paragraph beginning ‘We are currently exploring’

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Ida Wolden Bache
Version: Retrieved for the candidate pack on 2026-11-04 (SHA-256 a9f62d78fd1cc15afefc927c159f1fa0147421642733af22944991f13f998934). Retrieved again at admission on 2026-11-06 (SHA-256 790e8c5ac243324e78ad755b075394c4339919c0bdaaad676af7f10c1fc7e538; web pages are served with new markup on each request). HTML speech text on norges-bank.no as served on 2026-11-04 (“Published 21 May 2026”)
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Ida Wolden Bache, “Research-based models in monetary policy decision-making”, 2026-05-21.
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 (21 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

Research-based models in monetary policy decision-making

Norges Bank · 2026-05-21

Cite the original source

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

Source excerpt

“For example, machine learning can help improve forecasting models and lead to more flexible methods for weighting models to reduce forecasting error.”

Location in source Same paragraph

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Ida Wolden Bache
Version: Retrieved for the candidate pack on 2026-11-04 (SHA-256 a9f62d78fd1cc15afefc927c159f1fa0147421642733af22944991f13f998934). Retrieved again at admission on 2026-11-06 (SHA-256 790e8c5ac243324e78ad755b075394c4339919c0bdaaad676af7f10c1fc7e538; web pages are served with new markup on each request). HTML speech text on norges-bank.no as served on 2026-11-04 (“Published 21 May 2026”)
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Ida Wolden Bache, “Research-based models in monetary policy decision-making”, 2026-05-21.
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 (22 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-u05-nb-2026-bache-models