How can we design an AI that automatically trades stocks? How can we detect financial frauds? Financial AI aims to develop models, algorithms, and systems for financial applications (e.g., actuarial and insurance, consumer banking, and investment banking), transforming subjective decision-making to data-driven decision-making. Despite the “efficient market hypothesis” of classic economics, we have seen many success stories of investments, and we develop state-of-the-art AI methods to exploit the tiny gap between conventional theory and what actually happens. We focus on the following researches.