Decoding the Next Era of Risks: Social Inflation, Climate Change and more

The General Insurance landscape in the APAC region is evolving rapidly, driven by complex, non-traditional risks that require modern solutions. This session is designed for actuaries across all functions - pricing, reserving, and capital modeling - who are seeking strategic, data-driven approaches to managing this new era of uncertainty.

Introduction and CAS Overview

An AI Approach to Quantifying Social Inflation

This session provides an overview of how an AI framework can be adopted to help insurers forecast jury verdicts and court case durations in a more granular manner. An overview of how the framework benefits multiple stakeholders (both actuarial and non-actuarial) within a company will also be discussed.

Learning Objectives:

• Identify unstructured data sources pertinent to jury verdict modelling.
• Assess their employer's readiness to implement AI driven transformation projects.
• Understand the benefits and limits of generative AI.

The Dos and Don’ts of Climate Data and Catastrophe Modelling

This presentation will delve into what we do and don't know about using climate data from a climate science perspective, including how related intelligence has been integrated into cat models, and how the cat models are subsequently being used to answer regulatory requirements.

Learning Objectives:

• Understand how catastrohpe models integrate climate change into model output
• Understand what the current understanding of climate change is by peril and which perils have high certainty vs low certainty
• Understand the potential magnitudes of climate change by peril and its effect on cat model output