The Financial Stability Implications of Artificial Intelligence
Report published by the Financial Stability Board as its own text. Dated 2024-11-14.
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- The Financial Stability Implications of Artificial Intelligence Financial Stability Board · published 2024-11-14 · Retrieved for the candidate pack on 2026-11-02 (SHA-256 4b81544ecb28b50fb2fa5dab530a0f32c9351506a875d1de841b946d18e7ecef). Retrieved again at admission on 2026-11-06 (same file). PDF dated 14 November 2024 as served by fsb.org on 2026-11-02
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- AI and money: what central banks and financial authorities have said, 1997–2026 →5 records on this document
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- AI raises financial-stability risks through correlated behaviourThe FSB report of 14 November 2024 on the financial stability implications of artificial intelligence states that widespread use of common AI models and data sources could increase correlations in trading, lending and pricing, amplifying market stress, and sets out herding, network externalities, limited choice and lack of transparency as drivers.2024-11-14 · publication · Stated in source · Supported Inspect claim & evidence ↗AI raises financial-stability risks through correlated behaviour: propositions page →
- Reliance on a few AI providers creates concentration riskThe FSB report of 14 November 2024 states that reliance on specialised hardware, cloud services and pre-trained models has increased AI-related third-party dependencies and that the highly concentrated market for these products could expose financial institutions to operational vulnerabilities and systemic risk.2024-11-14 · publication · Stated in source · Supported Inspect claim & evidence ↗Reliance on a few AI providers creates concentration risk: propositions page →
- AI increases cyber, fraud and operational risks in financeThe FSB report of 14 November 2024 states that AI uptake by malicious actors could increase the frequency and impact of cyber attacks and that generative AI could increase financial fraud and the spread of disinformation in financial markets.2024-11-14 · publication · Stated in source · Supported Inspect claim & evidence ↗AI increases cyber, fraud and operational risks in finance: propositions page →
- The opacity of AI models complicates risk management and supervisionThe FSB report of 14 November 2024 states that the complexity and limited explainability of some AI methods, and the difficulty of assessing data quality for widely used models, could increase model risk for financial institutions lacking robust AI governance.2024-11-14 · publication · Stated in source · Supported Inspect claim & evidence ↗The opacity of AI models complicates risk management and supervision: propositions page →
- Existing financial rules broadly cover AIThe FSB report of 14 November 2024 states that existing financial policy frameworks address many of the vulnerabilities associated with AI adoption, but that additional work may be needed to ensure these frameworks are sufficiently comprehensive.2024-11-14 · publication · Stated in source · Supported Inspect claim & evidence ↗Existing financial rules broadly cover AI: propositions page →
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