EAA Web Session: AI Act: The Insurance Fallout-Use-Cases & Exemplary Implementations
Announcement from the EAA organiser:
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.
Laying out use cases and affected insurance processes (note that these may not even look like “AI”…), the online training is structured as follows:
- Super-short recap: Provisions of the AI act relevant for insurance
- Conceptual toy examples
- Impact assessment
- Real-world use cases
- Outlook and discussion
Kindly acknowledge: This session is intended as information seminar; no legal counselling will take place.
Click here to register. Your early-bird registration fee is € 300.00 (net) / € 357.00 (incl. VAT, if applicable) until 17 February 2025. After this date, the fee will be € 390.00 (net) / € 464.10 (incl. VAT, if applicable).
Click here. (Note: timing via that link is in CEST [Central European Summer Time].)
Prof Dr Fabian Transchel is a 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).