Welcome to the Actuarial AI Case Studies repository, created as part of the International Actuarial Association's (IAA) Task Force on Artificial Intelligence. This repository supports the Task Force's objective to curate and share practical applications of AI in actuarial work.
The goal of this repository is to provide actuaries with practical insights through case studies that demonstrate how AI—encompassing machine learning, generative AI, agentic AI, and more—can be integrated into actuarial science practices. By showcasing these applications, we aim to support actuaries in adopting AI-driven solutions in their professional practice.
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case-studies/
A collection of case studies illustrating AI case studies in actuarial contexts, including topics such as risk modeling, pricing, forecasting, and claims analysis. -
templates/
Templates for creating new AI case studies. Detailed instructions on how to hand in your case study contributions are provided in the CONTRIBUTING.md file.
We welcome contributions from actuaries, data scientists, and AI practitioners. Please review the CONTRIBUTING.md file for details on how to submit your case studies. Alternatively, you can also contact us via email for any questions or suggestions.
This repository contains both original content and references to third-party materials.
- Textual materials (such as case studies, articles, and documentation) developed by the IAA Task Force on Artificial Intelligence are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
- Software and code (including scripts and Jupyter notebooks) developed within this repository are licensed under the MIT License.
- Third-party materials are distributed under their respective licenses, as indicated.
For questions or suggestions, feel free to open an issue or contact us via email.