Curating, developing, and sharing actuarial AI case studies, toolkits, and resources.
| Repository | Description |
|---|---|
| Actuarial AI Case Studies | A curated collection of actuarial AI case studies covering machine learning, generative AI, agentic AI, and more, designed to support actuaries in applying AI to real-world problems. |
| AI Tools for Actuaries | A resource hub with tutorials and guides helping actuaries use AI tools—including chatbots, coding assistants, data analysis tools, and automation frameworks—effectively in their work. |
We welcome contributions from actuaries, data scientists, and AI practitioners worldwide. Each repository contains a CONTRIBUTING.md with detailed submission guidelines.
- Browse all repositories: github.com/IAA-AITF
- Questions or suggestions: Open an issue or contact us via email
Important
IAA GitHub Disclaimer (Summary) Materials across IAA-AITF repositories are provided "as is", without warranties of any kind; use is at your own risk. The IAA is not liable for any losses or damages arising from use of, or reliance on, the materials. The materials do not constitute professional actuarial, legal, financial, or other advice. Read the full disclaimer (PDF)
Read the full disclaimer on this page
This GitHub repository has been created and maintained by the IAA AI Task Force to curate, develop, and share actuarial AI case studies, toolkits, and resources. The content hosted here represents the work and contributions of individual members of the Task Force, affiliated volunteers, actuarial associations and/or other professionals. It is provided for informational and educational purposes and is intended to support the actuarial profession in exploring topical areas of AI and actuarial practice.
Disclaimer
- The material in this repository is provided "as is" without any representations or warranties of any kind, either express or implied, including but not limited to warranties of accuracy, completeness, or fitness for a particular purpose.
- Use of any information, tools, or resources from this repository is entirely at your own risk.
- The IAA does not accept any responsibility or liability for any direct, indirect, incidental, consequential, or other losses, damages, or expenses arising from or in connection with the use of, or reliance on, the materials in this repository.
- Any case studies, analyses, or tools are solely the work of the contributing members, actuarial associations and/or other professionals, and inclusion in this repository does not constitute endorsement or approval by the IAA. This repository may contain links to third-party websites or incorporate third-party materials. The IAA is not responsible for the accuracy, legality, or content of such external sources.
- The materials provided do not constitute professional actuarial, legal, financial, or other professional advice. Users are encouraged to apply professional judgment and seek independent advice where appropriate before using any of the information contained in this repository.
- AI technologies and actuarial practices evolve rapidly. Materials may become outdated, and users should verify currency and applicability before use.
By accessing or using this repository, you acknowledge and agree to the terms of this disclaimer.
Last Update: 2025-10-07