The Actuarial Dilemma in AI Fairness

In this episode of the Get Plugged In Podcast Series: AI Insights, Dale Hall, Managing Director of the Society of Actuaries Research Institute, is joined by Michael Niemerg, Principal and Director of Data Science and Analytics at Milliman IntelliScript, to explore the urgent and evolving topic of fairness in artificial intelligence, particularly as it applies to insurance underwriting.

Michael shares deep insights into the complexities of ensuring fairness in AI-driven models, the implications of generative AI for interpretability, and how actuarial professionals can better align modeling practices with ethical and regulatory standards. The conversation also tackles common misconceptions about AI fairness, the value of additional data in underwriting, and what actuaries need to consider in designing and testing fair models.

🎧 Whether you're an actuary, data scientist, or regulator, this is a must-listen discussion on how to navigate bias, maintain trust, and prepare for a future where AI continues to reshape the insurance industry.

📍 Be sure to visit the SOA's Artificial Intelligence landing page for more research, tools, and expert perspectives on AI's role in actuarial science.

Send us your feedback at AI-Insights@soa.org