When AI Starts Influencing Investment Decisions

When AI begins to influence investment decisions, governance becomes as important as analytical capability. This episode explores six practical governance questions organizations should consider when using AI-powered investment assessment and decision-support systems: • What data is used? • How reliable is the model? • What are its limitations? • Is there meaningful human oversight? • How is the system monitored? • Are risks and uncertainties clearly disclosed? The discussion also considers transparency, validation, conflicts of interest, ongoing monitoring, accountability, and how frameworks such as the NIST AI Risk Management Framework and IOSCO’s AI supervisory work can help organizations think more systematically about AI risk in financial decision-making. The central question is no longer simply whether AI can generate investment insights, but whether organizations can demonstrate that those insights are produced, communicated, and used within an appropriate governance framework. This video is provided for educational and general informational purposes and does not constitute legal or regulatory advice. This video does not constitute investment advice or a recommendation to buy, sell, or hold any investment product. Flow AI Co., Ltd. — Thailand Building Trust in Emerging Technologies Governance · Compliance · Technology Law www.flowai.co.th I contact@flowai.co.th