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In the IMF Departmental Paper of 22 October 2021, Boukherouaa, AlAjmi, Deodoro, Farias and Ravikumar write that central banks have been slow to adopt AI/ML, attributing this in part to a lack of adequate capacity, and that risks would be amplified if a central bank lacks the resources and skills to operate AI/ML safely. Copy claim link
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Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2021-10-22 · publication Records dated 2021 → Role Context Register (kind of text) Nonfiction Missing element An explicit statement that central banks need to invest in, or pool, AI capabilities; the conclusion’s call for capacity building is addressed to regulators generally. Scope and limits A staff paper attributed to its authors. The text describes capacity as a constraint and a risk factor; it does not state that central banks need to invest in their own AI capabilities or pool resources.
The evidence 03 primary source Supports the claim
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance ↗ International Monetary Fund · 2021-10-22
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Source excerpt “central banks’ slow adoption thereof can be attributed to cultural, political, and legal factors, and lack of adequate capacity” Location in source Chapter 2, section E “Central Banking” (HTML)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors El Bachir Boukherouaa; Ghiath Shabsigh; Khaled AlAjmi; Jose Deodoro; Aquiles Farias; Ebru S. Iskender; Alin T. Mirestean; Rangachary Ravikumar Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 90973ad87869f334410b993b16c30df44e9a78e1107954eab82e0609a67d0651). Retrieved again at admission on 2026-11-06 (SHA-256 a3c72bc30e04773a36b586abd840bde6c17e39978674f8bf8c2aeb134847b19f; web pages are served with new markup on each request). IMF eLibrary HTML full text of Departmental Paper No. 2021/024 as served on 2026-11-02 (the eLibrary PDF download returned HTTP 202 with no body; imf.org refused, HTTP 403) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution El Bachir Boukherouaa, Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S. Iskender, Alin T. Mirestean, Rangachary Ravikumar, “Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance”, 2021-10-22. 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. primary source Supports the claim
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance ↗ International Monetary Fund · 2021-10-22
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Source excerpt “These concerns would be amplified if the central bank does not have the resources and skills required to safely operate AI/ML or mitigate the risks associated with it.” Location in source Chapter 2, section E (HTML)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors El Bachir Boukherouaa; Ghiath Shabsigh; Khaled AlAjmi; Jose Deodoro; Aquiles Farias; Ebru S. Iskender; Alin T. Mirestean; Rangachary Ravikumar Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 90973ad87869f334410b993b16c30df44e9a78e1107954eab82e0609a67d0651). Retrieved again at admission on 2026-11-06 (SHA-256 a3c72bc30e04773a36b586abd840bde6c17e39978674f8bf8c2aeb134847b19f; web pages are served with new markup on each request). IMF eLibrary HTML full text of Departmental Paper No. 2021/024 as served on 2026-11-02 (the eLibrary PDF download returned HTTP 202 with no body; imf.org refused, HTTP 403) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution El Bachir Boukherouaa, Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S. Iskender, Alin T. Mirestean, Rangachary Ravikumar, “Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance”, 2021-10-22. 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 (28 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 source Context only
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance (DP/2021/024, PDF) ↗ International Monetary Fund · 2021-10-22
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Source excerpt “The views expressed in this paper are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.” Location in source PDF p. 3, series note
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors El Bachir Boukherouaa; Ghiath Shabsigh; Khaled AlAjmi; Jose Deodoro; Aquiles Farias; Ebru S. Iskender; Alin T. Mirestean; Rangachary Ravikumar Version Retrieved for the candidate pack on 2026-11-04 (SHA-256 1c331597155263949e804d936735ca13bfc0ca1f69b32c75b806eac70349dc71). Retrieved again at admission on 2026-11-06 (same file). PDF as served on 2026-11-04 to plain curl with its default user agent (`tools.mjs fetch`, with a browser user agent, receives HTTP 403; the cache entry was made by hand); the same SHA-256 as the copy a second check by a model of another family read Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution El Bachir Boukherouaa, Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S. Iskender, Alin T. Mirestean, Rangachary Ravikumar, “Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance (DP/2021/024, PDF)”, 2021-10-22. 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 text’s own statement of whose views it gives, shown beside the record; it is context, not support. The quotation matched a fresh retrieval of 2026-11-06. 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.
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Date. Date of publication, as the text gives it.
Record ID am-u11-imf-2021-dp-ai-finance-context