Programme

E-CONFERENCE

12 May 2022

EAA e-Conference on Data Science & Data Ethics

Thursday, 12 May 2022

09:30 - 09:40 WELCOME & OPENING
Henning Wergen, EAA
09:40 - 10:40 KEYNOTE
LocalGLMnet: An Interpretable Deep Learning Architecture
Mario Wüthrich, ETH Zürich
10:40 - 11:00 BREAK
11:00 - 11:30 What are the Basic Similarities and Differences between Insurance Risk Modelling and Standard Machine Learning Techniques? – An Overview
Jürg Schelldorfer, SwissRe
11:40 - 12:10 Bayesian Neural Network Perspectives for Actuarial Science – Review and Motor Claims Analysis Case Study
Aurélien Couloumy / Akli Kais, CCR Group
12:20 - 12:50 Bancassurance Data-Driven Solutions
Petr Vaclav, RGA
12:50 - 13:50 BREAK
13:50 - 14:50 KEYNOTE
Dynamically Updating Motor Insurance Prices with Telematics Collected Driving Behavior Data
Katrien Antonio, KU Leuven & University of Amsterdam
15:00 - 15:30 The How and Why of Data Science Risk Management?
Valerie Du Preez, Dupro Actuartech / Matthew Byrne, NFU Mutual
15:30 - 15:50 BREAK
15:50 - 16:20 Applying Ethical Standards in Practice – Insights from New Zealand
Gráinne McGuire, Taylor Fry
16:30 - 17:00 The Emergence of BDAI Regulation – Commonalities and Challenges
Clemens Frey, Ernst & Young
17:00 - 17:05 CLOSING & GOODBYE
Henning Wergen, EAA
.
The one-day live programme will be complemented by recorded presentations. The following topics will be presented:
Operationalizing Responsible AI in the Insurance Industry
Jordan Ko / Anthony Nelson, SAS Institute
Using Explainable AI for Ratings of German Life Insurers
Mirko Kraft, Coburg University / Holger Bartel, RealRate
Predictive Machine Learning for Underwriting Life and Health Insurance
Patricia Wang, Gen Re UK

Seminar Details

Programme

CPD Credits

Script Download

Documents

Please find the printable programme

here.

Programme Committee

Dr Stefan Nörtemann (msg life)
Dr Jürg Schelldorfer (Swiss Re)
Henning Wergen (EAA)