­

­

­

­

EAA Web Session 

­

­

­

­

­

­

­

The increasing use of artificial intelligence (AI) and machine learning (ML) in the insurance industry in general and in actuarial issues in particular presents both opportunities and risks. Acceptance of complex methods requires, among other things, a degree of transparency and explainability of the underlying models and the decisions based on them.

This web session will cover the following topics:

• Understanding Explainable AI: Discussions for Actuaries
• A Selection of Explainable AI Techniques
• An Introduction to Variable Importance Methods
• Applying Explainable AI: Interactive Actuarial Case Studies

It is intended for all actuaries, statisticians and data scientists in the insurance industry who wish to enhance their analytical capabilities by applying explainable AI techniques to actuarial practice. A basic knowledge of machine learning concepts and some programming skills (e.g. Python or R) are prerequisites to enable participants to derive maximum value from the training content and hands-on activities.

By the end of the web session, participants will leave with a toolkit of explainability techniques, an in-depth understanding of model interpretability, and the ability to use XAI approaches in practical actuarial applications.

Participants will also understand mathematical principles behind key XAI techniques, evaluate the strengths and limitations of XAI methods, run a machine learning workflow that incorporates XAI techniques, and analyse and interpret results in the context of actuarial cases.

Your early-bird registration fee is € 360.00 (net) / € 428.40 (incl. VAT, if applicable) for bookings by 8 August 2024. After this date, the fee will be € 475.00 (net) / € 565.25 (incl. VAT, if applicable).

­

­

­

­

­

­

­

­

­

Coming soon...

­

­

­

­

­

Understanding IFRS 17 | 27/28 May 2024

How to Read the New IFRS Balance Sheet for Insurers | 14 June 2024

Climate Day 5.0 | 17 June 2024

...and a lot more! Explore our website for more information or download our overview.

­

­

­

­

­

actuarial-academy.com

­