Description
An AI-generated research note lands in your inbox. It reads well and sounds convincing — but is it accurate, and what needs to happen before it reaches a client? AI Risks and Opportunities for Financial Institutions (Hong Kong) gives finance professionals a practical introduction to how large language models work, why they can get things wrong with complete confidence, and how to put their capabilities to use. Across four parts, the course explains essential concepts — from context windows and retrieval augmented generation to tools and agentic AI — before examining Hong Kong’s regulatory expectations for governance, human oversight, and cybersecurity. It then explores how to build AI solutions, comparing structured workflows with autonomous agents and the controls each requires. By the end, you will understand where AI can add value, where it needs supervision, and what it takes to use it responsibly in a regulated financial institution.