Claim · 2023-10-26 · publication · Stated in source · Supported

The Bank of England (including the PRA) and the Financial Conduct Authority report in feedback statement FS2/23 of 26 October 2023 that most respondents to DP5/22 favoured a technology-neutral approach and considered that many AI risks could be mitigated within existing frameworks.

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

FS2/23 – Artificial Intelligence and Machine Learning → 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

FS2/23 – Artificial Intelligence and Machine Learningarticulates ↓Existing financial rules broadly cover AI

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-10-26 · publication Records dated 2023 →
Role: Articulation
Register (kind of text): Relay of another author

Scope and limitsA relay of respondents’ views, which the feedback statement summarises without adopting; respondents also named areas where frameworks could be strengthened or clarified.

The evidence 02

primary sourceSupports the claim

FS2/23 – Artificial Intelligence and Machine Learning

Bank of England · 2023-10-26

Cite the original source

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

Source excerpt

“Respondents noted that many risks related to AI are not necessarily unique to AI itself and could therefore be mitigated within existing legislative and/or regulatory frameworks in a technology-neutral way.”

Location in source Chapter 2, para 2.4

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Bank of England (including the PRA) and Financial Conduct Authority
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 d3b44aa3773d73b1f4ee018805a506574f0e659e17e45dd0f50e504f1fcf6565). Retrieved again at admission on 2026-11-06 (SHA-256 a701fe0eb076412fb6b30c3b94086124f30ff039ab689f087e2020737501d480; web pages are served with new markup on each request). HTML of the feedback statement page as served on 2026-11-02
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Bank of England (including the PRA) and Financial Conduct Authority, “FS2/23 – Artificial Intelligence and Machine Learning”, 2023-10-26.
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 (30 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

FS2/23 – Artificial Intelligence and Machine Learning

Bank of England · 2023-10-26

Cite the original source

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

Source excerpt

“Respondents said that existing firm governance structures (and regulatory frameworks such as the Senior Managers and Certification Regime (SM&CR)) are sufficient to address AI risks.”

Location in source Executive summary

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Bank of England (including the PRA) and Financial Conduct Authority
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 d3b44aa3773d73b1f4ee018805a506574f0e659e17e45dd0f50e504f1fcf6565). Retrieved again at admission on 2026-11-06 (SHA-256 a701fe0eb076412fb6b30c3b94086124f30ff039ab689f087e2020737501d480; web pages are served with new markup on each request). HTML of the feedback statement page as served on 2026-11-02
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Bank of England (including the PRA) and Financial Conduct Authority, “FS2/23 – Artificial Intelligence and Machine Learning”, 2023-10-26.
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 (25 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-u12-boe-2023-fs2-23