Issues in Data Quality: AI Models and the Risk of Fake Data

This CCA cross discipline webinar addresses the ethical dimensions of data quality as outlined in ASOP No. 23 (Data Quality), particularly in the era of artificial intelligence. Actuaries will explore challenges such as relying on AI-generated models, identifying and mitigating risks from fake or synthetic data, and ensuring data integrity across practice areas like healthcare analytics, predictive modeling in property and casualty, and investment forecasting. The session will provide guidance on professional responsibilities when dealing with emerging data sources and the potential for misinformation in research.