Webinars

Name: IAALS: Linking Socioeconomic Characteristics to Policyholders’ Longevity and Liability Values in Weighted Mortality Models
Start: 2026-05-28T08:00:00-04:00
End: 2026-05-28T09:00:00-04:00

April 2026
Data and AI Regulations Around the World

April 15 @ 7:00 AM - 8:00 AM

This webinar hosted by the IAA Data Analytics Virtual Forum (DAVF) which will explore how data and AI regulations are developing across key regions worldwide, highlighting similarities, differences, and emerging governance trends. Speakers will present regulatory perspectives from the EU, UK, Asia, and North America, offering insights into how each jurisdiction is approaching responsible AI, data protection, and sector specific oversight.

By bringing together these global viewpoints, the session will provide attendees with an understanding of the evolving regulatory landscape and its implications for professionals working with AI and data driven technologies.
ASTIN: Assessing Driving Risk Through Unsupervised Detection of Anomalies in Telematics Time Series Data

April 22 @ 10:00 AM - 11:00 AM

Virtual Event

With the advancement of technology, insurance companies are increasingly adopting usage-based insurance (UBI) supported by vehicle telematics. Vehicle telematics refers to data collected from in-vehicle sensors or smartphone applications during driving, such as speed, acceleration, braking, and steering. It provides a rich, high-frequency record of how a vehicle is driven, offering insights into driving habits, behaviour, safety, and potential risk. However, many current approaches rely on aggregated metrics and do not fully capture the detailed time-series patterns in telematics data. This presentation introduces a flexible framework based on a continuous-time hidden Markov model (CTHMM) to analyze trip-level telematics data directly. Our approach avoids predefined thresholds for harsh events or assumptions about accident probabilities, and uses only telematics data, requiring no traditional demographic covariates. Using an unsupervised anomaly detection technique, we identify deviations from normal driving patterns linked to higher accident risk. The framework is tested on both controlled and real-world datasets, and the results reveal clear behavioural differences between drivers with and without claims, offering practical insights for insurance, accident analysis, and prevention

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May 2026
IACA Webinar: Behavioral Architecture for Lifelong Security: Engineering Financial Well-being

May 6 @ 10:00 AM - 11:00 AM

Virtual Event

This conference explores how Behavioral Economics can bridge the gap between complex financial products and actual consumer decisions within the pension and insurance industries. By shifting the focus from purely technical designs to the cognitive reality of "System 1" and "System 2" thinking, we will analyze why even the most robust actuarial models often face inertia and low uptake. The presentation moves beyond theory to examine proven strategies from leading global markets who have successfully maximized participation and savings rates. We will discuss how to apply Choice Architecture to overcome deep-seated biases that hinder effective risk protection across both retirement and insurance sector. Ultimately, this talk redefines the actuary's role as a "Decision Architect," capable of building scalable infrastructure that is both mathematically sound and humanly effective in a modern regulatory landscape

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IAALS: Linking Socioeconomic Characteristics to Policyholders’ Longevity and Liability Values in Weighted Mortality Models

May 28 @ 8:00 AM - 9:00 AM

Virtual Event

In the first part of this webinar, we will analyze the effect of using weighted maximum likelihood estimation for survival models where the assigned weights depend on the sum assured – a common practice in life insurance to focus on the financial consequences of survivorship. In this context, we consider how these estimates may change when more granular mortality models are used that are based on the socioeconomic characteristics of policyholders.

During the presentation, we will highlight several practical considerations for developing weighted models for liability estimation and discuss the impact of such approaches on annuity liabilities. To illustrate this, we will present results using a real-world insurance dataset providing survival information on individuals who purchased annuities between 2015 and 2022 in the Netherlands. The analysis will include a financial test of fit to evaluate the performance of models.

In the second part of the webinar, we will discuss research findings on the potential influence of socioeconomic factors on annuitants' longevity, based on publicly available, area-level indicators. The analysis will present detailed results on variables that could be useful for modelling policyholder mortality in the Netherlands, and will compare these with the traditional approach of using age, gender and pension information as covariates.

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April 2026

May 2026