Event Paper: AI and digital technologies Tackling big risks for bigger rewards

This presentation will involve a comprehensive quantitative analysis of how the AI risks landscape could change drastically in the future.

We will help attendees understand how we can map probability. We’ll also explore the severity of AI-related loss incidents currently and over the next decade, due to risks like data bias, cyber incidents and algorithmic and performance-related issues. Participants will gain insights on how re/insurers can help mitigate some of these risks.

This is a novel approach towards understanding AI risks. Techniques used in different parts of the analysis include text processing, ensemble learning and regression.

Target audience and assumed knowledge level: No specialist knowledge is required.

Speaker and company: Mitali Chatterjee, Swiss Re