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FSI Insights No 35 of August 2021, by Jermy Prenio and Jeffery Yong, states that humans can be held unambiguously accountable for human-based modelling, and that accountability for AI is complicated by, among other factors, the lack of model explainability. Copy claim link
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Date 2021-08 · publication Records dated 2021 → Role Articulation Register (kind of text) Nonfiction Scope and limits A staff paper under the FSI series disclaimer; it frames explainability as one of three compounding factors in a challenge of accountability.
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Humans keeping AI in check – emerging regulatory expectations in the financial sector ↗ Financial Stability Institute, Bank for International Settlements · 2021-08
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Source excerpt “Although human-based modelling can suffer from similar weaknesses of AI models – for example bias or errors – a key distinguishing feature of the former is that humans can be held unambiguously accountable.” Location in source PDF p. 4 (printed p. 1), executive summary
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Machine-checked · 2026-11-06
Source details and check notes Authors Jermy Prenio; Jeffery Yong Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 7b2f44372e8f93d1682bd9c0d9150928d9bf428c1d95bb200ca4f9099eacf00c). Retrieved again at admission on 2026-11-06 (same file). PDF as served on 2026-11-02 (requested at https://www.bis.org/fsi/publ/insights35.pdf, redirected) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Jermy Prenio, Jeffery Yong, “Humans keeping AI in check – emerging regulatory expectations in the financial sector”, 2021-08. 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 (33 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. primary source Supports the claim
Humans keeping AI in check – emerging regulatory expectations in the financial sector ↗ Financial Stability Institute, Bank for International Settlements · 2021-08
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Source excerpt “This challenge is compounded by a number of factors, including (i) the speed and scale of AI adoption by financial institutions; (ii) technical construct of AI algorithms; and (iii) lack of model explainability.” Location in source PDF p. 5 (printed p. 2), executive summary, continuing the same paragraph
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Jermy Prenio; Jeffery Yong Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 7b2f44372e8f93d1682bd9c0d9150928d9bf428c1d95bb200ca4f9099eacf00c). Retrieved again at admission on 2026-11-06 (same file). PDF as served on 2026-11-02 (requested at https://www.bis.org/fsi/publ/insights35.pdf, redirected) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Jermy Prenio, Jeffery Yong, “Humans keeping AI in check – emerging regulatory expectations in the financial sector”, 2021-08. 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 (33 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. primary source Context only
Humans keeping AI in check – emerging regulatory expectations in the financial sector ↗ Financial Stability Institute, Bank for International Settlements · 2021-08
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Source excerpt “The views expressed in them are solely those of the authors and do not necessarily reflect those of the BIS or the Basel-based committees.” Location in source PDF p. 2 (inside cover, series note)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Jermy Prenio; Jeffery Yong Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 7b2f44372e8f93d1682bd9c0d9150928d9bf428c1d95bb200ca4f9099eacf00c). Retrieved again at admission on 2026-11-06 (same file). PDF as served on 2026-11-02 (requested at https://www.bis.org/fsi/publ/insights35.pdf, redirected) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Jermy Prenio, Jeffery Yong, “Humans keeping AI in check – emerging regulatory expectations in the financial sector”, 2021-08. 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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Record ID am-u04-fsi-2021-insights-35