Abstract:

In most of the major financial centers in the world, financial regulators oversee and regulate the activities of financial institutions to enable integrity and transparency in the financial market, to protect customers, investors, the economy, and society, and to prevent financial crime, market manipulation, ethical threats, and systemic risk. Regulation technology, or RegTech, is about making use of technology to drive automation and overcome challenges in the management of regulatory processes while Supervisory technology, or SupTech, involves using technology by regulatory authorities to monitor, supervise and enforce compliance with financial regulations. In this talk, we will discuss how to enrich RegTech and SupTech, and some other related domains, with language AI technologies, and explore various applications of speech recognition, speaker verification, natural language processing, large language models, and more. We will also illustrate some real-life examples in Hong Kong and some other financial centers.

Biography:

Albert Y.S. Lam received the BEng degree (First Class Honors) in Information Engineering and the PhD degree in Electrical and Electronic Engineering from the University of Hong Kong (HKU), Hong Kong, in 2005 and 2010, respectively. He was a postdoctoral scholar at the Department of Electrical Engineering and Computer Sciences of University of California, Berkeley, CA,USA, in 2010-12. Now he is the Chief Technology Officer and Chief Scientist at Fano, a deeptech company specializing in language AI technologies. He is also an Adjunct Assistant Professor at HKU and a Croucher Research Fellow. His research interests include optimization theory and algorithms, artificial intelligence, smart grid, and smart city. He is an Associate Editor of IEEE Transactions on Evolutionary Computation, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Emerging Topics in Computational Intelligence, and IEEE Transactions on Intelligent Transportation Systems. He is also an Editor-in-Chief of EAI Endorsed Transactions on Energy Web.