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Claim · 2017-06-27 · publication · Stated in source · Supported

The FSB report of 27 June 2017 on financial stability implications from FinTech states, in its case study on AI and machine learning, that key risks include the opacity and lack of auditability of “black box” algorithms, and that the auditability of AI models used by banks might be difficult to achieve given model validation practices that require models to be explained to regulators.

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Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention → articulates → The opacity of AI models complicates risk management and supervision

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