Integrating AI into Actuarial Work: Preserving Control and Applying Judgment
Talk about AI is everywhere, but what does it really mean for actuaries and the future of our profession? While AI is certainly a powerful tool, it is simply that: one tool, among many, in an actuarial toolkit. However, these tools are different from others in our traditional toolkit and if used improperly, they will remove control and blind us to opportunities where we could be applying actuarial judgment.
This presentation describes how a project’s structure and an actuary’s mindset must change to take advantage of AI tools. We discuss how control and application of judgment should not be removed, but rather shifted from one part of the process to another when using AI. Additionally, we discuss governance practices and some less obvious risks associated with the use of AI in actuarial work.

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Thomas Holmes
Tom Holmes es Chief Actuarial Officer de Akur8 y coautor de la **Monografía 13 de la CAS: Penalized Regression and Lasso Credibility**. Cuenta con experiencia en la modelización de seguros personales y comerciales y colabora como voluntario con la CAS en temas relacionados con la modelización predictiva. Participa habitualmente como ponente en eventos de la CAS y webinars de Akur8, y trabaja con profesionales del sector para compartir metodologías y buenas prácticas en modelización actuarial. Tom es Fellow de la CAS y tiene títulos en música por la University of Michigan y Ohio University.