The actuarial focus has changed significantly over the last couple of years. Computational power is increasing with exponential growth, in addition more and more data is available. This combination puts the actuarial profession into a position where a new understanding has to be developed on today‘s possibilities of actuarial science and its ethical implications. The new role of actuaries within big data and ongoing digitalisation is not yet fully defined. Best practice experience sharing and exchange of ideas is needed. The EAA is delighted to offer all interested actuaries and other experts a forum for knowledge exchange:

On 16 May 2023, the fourth virtual EAA e-Conference on "Data Science & Data Ethics" will take place. The programme will combine keynote speeches with food for thought from well-known experts and selected talks from professionals through a call for papers.

Organised by the EAA – European Actuarial Academy GmbH.

The Data Science & Data Ethics e-Conference is open to all actuaries and other interested experts.

Technical Requirements
Please check with your IT department if your firewall and computer settings support web session participation (the programme Zoom will be used for this online event). Please also make sure that you are joining the e-Conference with a stable internet connection.

As the leading provider of high-class actuarial education and CPD activities in Europe, the European Actuarial Academy (EAA) will be hosting its 4th e-Conference on "Data Science & Data Ethics" with the aim

• to present up-to-date solutions to technical problems,
• to share best practices and personal insights
• as well as to offer a forum for actuarial and data science experts.

The language of the e-Conference will be English.

The best lectures have been selected from a call for papers with many high-class submissions. We are pleased to offer an excellent programme and to publish all available presentation abstracts and lecturer details below.

Keynote Speakers:

• Johannes Kuhn, Munich RE|CertAI
  Trustworthy AI – Managing AI Compliance and AI Performance Issues
• Nuala Polo, Centre for Data Ethics and Innovation (CDEI)
  Non-regulatory Approaches to AI Governance: Spotlight on AI Assurance Techniques and Standards
• Neeraj Sarna, Munich RE|aiSure
  Trustworthy AI – Managing AI Compliance and AI Performance Issues

Lecturers:

• Antoine Chancel, SCOR
  AI and Ethics in Insurance: A New Solution to Mitigate Proxy Discrimination in Risk Modelling
  
• Bruno Deprez, KU Leuven & UAntwerp
  Less is More: Including Network Features for Insurance Fraud Detection – A Case Study for a Belgian Insurance Company
• Mehdi Echchelh, Milliman
  The Fast and the Fabulous. Harnessing GPU Power for High-performance Life Insurance Computations
• Antoine Ly, SCOR
  AI and Ethics in Insurance: A New Solution to Mitigate Proxy Discrimination in Risk Modelling
• Karol Maciejewski, Milliman
  The Fast and the Fabulous. Harnessing GPU Power for High-performance Life Insurance Computations
• Lars Oehlmann, PwC Germany
  Successfully Leveraging Customer Analytics in Actuarial Departments
• Steef Peters, The Hague University of Applied Sciences
  Can AI Go to Jail? – Consequences for the Corporate Governance
  
• Ronald Richman, Old Mutual Insure
  A New Method for Discrimination Free Pricing and Real-world Impacts
• Marguerite Saucé, Diot Siaci
  AI and Ethics in Insurance: A New Solution to Mitigate Proxy Discrimination in Risk Modelling
• Dr Jürg Schelldorfer, Swiss Re
  Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial Context
• Gabriel Stoszek, PwC Germany
  Successfully Leveraging Customer Analytics in Actuarial Departments
• Petr Václav, Reinsurance Group of America
  Leveraging Behavioural and Contextual Signals from Digital Distribution and Underwriting to Improve the Life Insurance Value Chain
  
• Gerrit Jan van den Brink, Goethe University Frankfurt
  Can AI Go to Jail? – Consequences for the Corporate Governance