Workshop F: From Bias to Black Boxes - understanding and managing the risks of AI
This panel discussion will explore key issues and challenges in AI risk management from an actuarial perspective based on discussions and outcomes from a transregional industry focus group. The session will define the gaps and challenges faced when it comes to implementing and using modern modelling techniques from a risk-perspective, in the context of regulation. They will also discuss best practice guidelines and how to take a practical approach to AI risk management. Practical outcomes include: an overview of key issues related to data science and AI regulation and risk management from an actuarial perspective; industry examples of the key modelling issues in practice in traditional and non-traditional actuarial work; best practice guidelines for data science and AI risk management; practical tips for data science and AI risk management; This discussion is aimed at participants who are looking to implement AI or data science within their functions or looking to improve their risk management in these domains. No prior technical knowledge on the topic is required. Research findings from the working group is available on request at info@actuartech.com. Comments on the panel discussion are invited either before or during the session.
