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

Participant Feedback

4.6 of 5 Points

Documents

Please find the printable programme

here.

Programme Committee

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