Regulation of Data and AI in Insurance: a Hong Kong and global perspective
課程資料只提供英文版本。
Course Outline
Insurance intermediaries increasingly rely on data-driven tools and digital platforms to advise clients and distribute products. In Hong Kong, the use of customer data and AI technologies is shaped by data protection laws, regulatory guidance and emerging global standards. This session explains the key legal principles governing data use and AI in insurance and how international regulatory developments may influence Hong Kong practice. It focuses on practical compliance considerations for intermediaries.
Speaker
Mr. Jeff Heasman
Jeff Heasman worked as a litigation executive and senior liability adjuster before branching out into language and psychology. Jeff holds both a bachelors and a masters of law degree, is a qualified language instructor and also a certified practitioner member of the Academy of Modern Applied Psychology as well as a member of the Association of Business Psychology.
Jeff maintains a close connection to the industry by regularly providing consultancy in areas such as law and communication and he provides consultations with individuals and teams regarding cognitive skills, such as decision-making and problem-solving.
Jeff is recognised as an expert in the field of negotiations within the insurance industry. Other areas of specialist expertise include insurance fraud, claims handling and the synergy between product design, brand promises, marketing messages and customer expectations.
Jeff is currently completing a doctoral thesis with a Swiss business school, focusing on human v automated decision-making in insurance claims and its potential impact on customer trust.
請注意: 本課程將透過 Zoom平台以視像課程形式進行，學員需要使用有視像功能的電腦 / 平板電腦，並建議於上課期間使用穩定的網絡系統連結。