The Financial Stability Implications of Artificial Intelligence practice questions cover the following learning objectives:
Explain key developments in AI since 2017, differentiating between supply-side drivers and demand-side drivers.
Identify and analyze existing and emerging AI use cases in financial services, including industry use cases as well as regulatory and supervisory use cases.
Assess the potential implications of AI for financial stability, with a focus on the following vulnerabilities:
• Third-party dependencies and service provider concentration
• Market correlations
• Cyber risks
• Model risk, data, and governance
• Other vulnerabilities, such as fraud, disinformation, and misalignment
We have also provided individual links for each question to their respective forum discussion.
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