Machine learning in risk models – Characteristics and supervisory priorities
Consultation paper published by the BaFin and Deutsche Bundesbank as its own text. Dated 2021-07-15.
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- Machine learning in risk models – Characteristics and supervisory priorities (consultation paper) Deutsche Bundesbank · published 2021-07-15 · Retrieved for the candidate pack on 2026-11-04 (SHA-256 3dae0409deb26f8b8e0778b2eee0bf3f07d629aef04df4803023cb3354e8e9a1). Retrieved again at admission on 2026-11-06 (same file). PDF of the consultation paper as hosted by the Bundesbank (“This version: July 2021”; page footers “BaFin – Consultation 11/2021”)
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- AI and money: what central banks and financial authorities have said, 1997–2026 →3 records on this document
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- The opacity of AI models complicates risk management and supervisionThe joint consultation paper of BaFin and the Deutsche Bundesbank of 15 July 2021 states that, as machine-learning models become more complex, their calculations become less transparent for modellers, users, validators and supervisors, making the modelling harder to comprehend and the validity of model output harder to check.2021-07-15 · publication · Stated in source · Supported Inspect claim & evidence ↗The opacity of AI models complicates risk management and supervision: propositions page →
- AI can improve financial firms’ risk managementThe joint consultation paper of BaFin and the Deutsche Bundesbank of 15 July 2021 states that the use of machine-learning methods can help to quantify risks more accurately and enhance process quality, thereby improving financial firms’ risk management.2021-07-15 · publication · Stated in source · Supported Inspect claim & evidence ↗AI can improve financial firms’ risk management: propositions page →
- Existing financial rules broadly cover AIThe joint consultation paper of BaFin and the Deutsche Bundesbank of 15 July 2021 on machine learning in risk models states that, since the current regulatory foundations are worded in a technology-neutral manner, they are largely transferable to the characteristics of machine-learning methods, with only a few places where adaptation might be necessary.2021-07-15 · publication · Stated in source · Supported Inspect claim & evidence ↗Existing financial rules broadly cover AI: propositions page →
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