Applying and Governing AI Applications, Including an Assessment of their Implications within the Actuarial Work
12 November 2025 | 10:00-12:00 CET
Artificial intelligence (AI) is a topic of increasing relevance in our societies, especially regarding its applications within the insurance industry and actuarial work. While it presents certain risks, it also offers numerous opportunities.
This session will provide an overview of the types of risks associated with AI, highlight key risk management practices, and explain how these can help actuaries navigate the evolving landscape of AI responsibly. In addition, the session will cover a range of methods to assess the implementation of AI across a model’s lifecycle—including data handling and disclosure management. These elements will be linked to actuarial standards of practice, professionalism, and ethical considerations. The first part of the session will also address current regulatory developments and draw connections between traditional approaches to governing complex models and emerging frameworks for governing AI.
The online seminar will explore selected AI applications relevant to the actuarial profession, focusing not only on potential use cases but also on how actuaries can responsibly design, validate, and monitor AI models. Participants will learn how to build compelling business cases for AI initiatives and understand where actuarial expertise offers unique value in ensuring model quality, transparency, and alignment with ethical and regulatory standards. By combining technical actuarial skills with a deep understanding of AI methodologies, actuaries can play a key role in shaping and governing AI solutions, thereby creating significant value in a rapidly evolving landscape.
Finally, the session will explore how to move from a general definition of harm to effectively detecting and managing it. It will incorporate both legal and quantitative perspectives—an approach especially valuable when addressing significant harm in AI systems. This will help bridge the gap between legal definitions and statistical evidence.
Early-bird discount is available for bookings made by 1 October 2025.
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