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In ESRB Advisory Scientific Committee Report No 16 of December 2025, Stephen Cecchetti, Robin L. Lumsdaine, Tuomas Peltonen and Antonio Sánchez Serrano write that widespread use of similar AI models can lead to correlated exposures and amplified market reactions, listing model uniformity among AI features that can exacerbate systemic risk. Copy claim link
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Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2025-12 · publication Records dated 2025 → Role Articulation Register (kind of text) Nonfiction Scope and limits A statement of what the text says, not evidence that the risk has materialised or that any authority has adopted a policy. An Advisory Scientific Committee report attributed to its authors; the ESRB states it is not its official stance. A footnote states that the executive summary is an edited version of a draft produced by an AI tool.
The evidence 03 primary source Supports the claim
Artificial intelligence and systemic risk (Reports of the Advisory Scientific Committee No 16) ↗ European Systemic Risk Board · 2025-12
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Source excerpt “Model uniformity: Widespread use of similar AI models can lead to correlated exposures and amplified market reactions.” Location in source Executive summary, PDF p. 3 (printed p. 2)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Stephen Cecchetti; Robin L. Lumsdaine; Tuomas Peltonen; Antonio Sánchez Serrano Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 53a52e381c42e2c273f4dd9c5054e604f8c244e786acaf7c03b46bbec6877131). Retrieved again at admission on 2026-11-06 (same file). PDF dated December 2025 as served by esrb.europa.eu on 2026-11-02 Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Stephen Cecchetti, Robin L. Lumsdaine, Tuomas Peltonen, Antonio Sánchez Serrano, “Artificial intelligence and systemic risk (Reports of the Advisory Scientific Committee No 16)”, 2025-12. 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 (17 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
Artificial intelligence and systemic risk (Reports of the Advisory Scientific Committee No 16) ↗ European Systemic Risk Board · 2025-12
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Source excerpt “If many institutions rely on the same AI model or data source, a flaw in that model or a corrupt data update could lead to simultaneous failure” Location in source Section 3.2, PDF p. 29
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Stephen Cecchetti; Robin L. Lumsdaine; Tuomas Peltonen; Antonio Sánchez Serrano Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 53a52e381c42e2c273f4dd9c5054e604f8c244e786acaf7c03b46bbec6877131). Retrieved again at admission on 2026-11-06 (same file). PDF dated December 2025 as served by esrb.europa.eu on 2026-11-02 Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Stephen Cecchetti, Robin L. Lumsdaine, Tuomas Peltonen, Antonio Sánchez Serrano, “Artificial intelligence and systemic risk (Reports of the Advisory Scientific Committee No 16)”, 2025-12. 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 (27 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
Artificial intelligence and systemic risk (Reports of the Advisory Scientific Committee No 16) ↗ European Systemic Risk Board · 2025-12
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Source excerpt “The views expressed in the Reports of the Advisory Scientific Committee are those of the authors and do not necessarily reflect the official stance of the ESRB or its member organisations.” Location in source PDF p. 67, imprint page, “Note”
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Stephen Cecchetti; Robin L. Lumsdaine; Tuomas Peltonen; Antonio Sánchez Serrano Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 53a52e381c42e2c273f4dd9c5054e604f8c244e786acaf7c03b46bbec6877131). Retrieved again at admission on 2026-11-06 (same file). PDF dated December 2025 as served by esrb.europa.eu on 2026-11-02 Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Stephen Cecchetti, Robin L. Lumsdaine, Tuomas Peltonen, Antonio Sánchez Serrano, “Artificial intelligence and systemic risk (Reports of the Advisory Scientific Committee No 16)”, 2025-12. 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-u01-esrb-2025-asc-ai