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, and retirement consulting. The discussion will provide information on professional responsibilities when dealing with emerging data sources and the potential for misinformation in research.

Speakers