Not many legislations are as controversial as now-adopted EU Artificial Intelligence Act, that will regulate the usage of Machine Learning and Deep Learning methods within the European Union’s economic area.

While it can be argued that usage of AI methods and processes has been slow in the insurance business, current wording suggests that also many common practices not previously considered “AI” might be subject of regulation as well. Although not all details are clear – and that’s part of the problem - there are some areas where there will be consequences as well as an urgent need for action with respect to the actuarial practice.

This follow-up training aims to provide use-cases and exemplary implementation approaches as well as impact assessments for practitioners.

Participants are expected to have knowledge about Actuarial Basics and some idea about the usage and potential of Machine Learning / Artificial Intelligence in the insurance context. Understanding of the provisions of the AI Act is helpful. (For a comprehensive introduction of the AI Act, please see the first session of this series here.)

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 training). Please also make sure to join the web session with a stable internet connection.

Please note that price information and registration details will be published on these pages shortly. We will inform all our newsletter subscribers as soon as registration is available. To stay updated, you can sign up for our newsletter here.

In the meantime, if you have any questions, please do not hesitate to contact us at contact@actuarial-academy.com.

Laying out use cases and affected insurance processes (note that these may not even look like “AI”…), the online training is structured as follows:

1. Super-short recap: Provisions of the AI act relevant for insurance
2. Conceptual toy examples
3. Impact assessment
4. Real-world use cases
5. Outlook and discussion

Kindly acknowledge: This session is intended as information seminar; no legal counselling will take place.

The language of the web session will be English.

Prof Dr Fabian Transchel
Professor for Data Science at the Harz University of Applied Sciences, Department AI, where his research focus is Insurance and Finance, most notably motor telematics and pricing. He is active in the development of the new Actuarial Data Science subjects at the German Actuarial Association (DAV) and a lecturer for the German Actuarial Academy (DAA).