In data we trust? Emerging policy and supervisory approaches to AI data use in financial services
FSI Insights No 73 Data play a critical role in the transformation of the financial sector through artificial intelligence (AI). While challenges in data management are not new, they pose significant barriers to the wider adoption of advanced AI systems, such as generative AI (gen AI). Key concerns include data privacy, quality and security, which […]
Managing explanations: how regulators can address AI explainability
FSI Occasional Papers No 24 The growing use of AI in finance is reshaping operations, risk management, and customer services, but limited explainability of complex models (like deep learning and LLMs) poses serious challenges for institutions and regulators. Explainability is vital for transparency, accountability, compliance, and trust, yet current techniques are often unreliable. Most existing […]