EAA e-Conference on Data Science & Data Ethics
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:
Organised by the EAA – European Actuarial Academy GmbH.
Participants
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.
Purpose and Nature
As the leading provider of high-class actuarial education and CPD activities in Europe, the European Actuarial Academy (EAA) will be hosting its third 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 lectures will relate to the following topics:
- Use cases – Data science applications in insurance, pensions and risk management
- Enhancing the actuarial role in data science tasks
- Regulation in the context of trustworthy AI
- Explainable Artificial Intelligence (XAI)
- Fairness and non-discrimination for insurance
- Use of consumer data to improve actuarial models
- Data Science and data ethics in underwriting
- Using modern statistical methods in traditional actuarial tasks in insurance and pensions
- Actuarial approaches using big data outside traditional fields
- Dynamic pricing – adjusting pricing to customer behaviour
- A blueprint for actuaries – Data Science in other industries