We are pleased to announce the release of the programme for the upcoming EAA e-Conference on Data Science & Data Ethics. This event will bring together leading experts to discuss the latest developments in data science, AI, and ethics in actuarial practice.

Explore the Programme

Discover the latest trends and established practices in the field of Data Science, AI and Data Ethics through our thoughtfully curated programme featuring keynote presentations and expert speakers.

We’ll open the day with a keynote on the risks of secondary use of AI models and why the insurance sector should pay close attention to purpose limitation - setting the stage for responsible and compliant AI adoption.

The agenda then turns to Generative AI in actuarial practice: from its implications for fraud in motor insurance to the use of generative models for synthetic non-life insurance data. You’ll also be able to explore what should never be automated as AI becomes more embedded in actuarial workflows, and how to maintain sound actuarial judgement in the age of AI.

Another key theme is fairness and transparency in insurance modelling, including a session on moving from predictive pricing to fair pricing through a causal fairness audit framework. The day will also cover practical industry perspectives on AI use cases in pricing and the current state of GenAI integration across European insurers.

We’ll wrap up with an important legal and ethical angle: intellectual property and copyright concerns - a topic becoming increasingly relevant as models and data-driven content are used more widely.

Early Bird Reminder:
Secure Your Discount Before 20 March 2026!

Do you want to contribute to the discussion on the latest developments in data science, data ethics and AI? Do you want to exchange ideas with experts and colleagues and make useful contacts?

Then don’t miss your chance to join the EAA e-Conference on Data Science & Data Ethics on 20 May 2026 – and benefit from the early bird discount.

Register now to secure your spot at one of the most relevant conferences in the field and save on your registration fee. The early bird discount is available until 20 March 2026.