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Institute and Faculty of Actuaries - Data Science Working Party

IFOA DSWP eXplainable AI

Intro

This repository is a supplement to the All Clear article in The Actuary Magazine. The main aim is to show an application of SHAP (SHAP_markdown.pdf) but I uploaded all supplementary materials for those interested (scripts folder).

Aims

Demonstrate concepts behind XAI with a view to myth busting the notion that “Machine learning models are black boxes” Provide guidance notes around embedding XAI practices in any future actuarial work relying on AI. (Note that there is potential crossover here into Ethical AI and attitudes to AI in general).

Disclaimer

The views expressed on this site are those of invited contributors and not necessarily those of the Institute and Faculty of Actuaries. The Institute and Faculty of Actuaries do not endorse any of the views stated, nor any claims or representations made on this site and accept no responsibility or liability to any person for loss or damage suffered as a consequence of their placing reliance upon any view, claim or representation made on this site.

The information and expressions of opinion contained on this site are not intended to be a comprehensive study, nor to provide actuarial advice or advice of any nature and should not be treated as a substitute for specific advice concerning individual situations. On no account may any part of this publication be reproduced without the written permission of the Institute and Faculty of Actuaries.

https://htmlpreview.github.io/?https://github.com/Karol-Gawlowski/IFOA_SHAP/blob/main/SHAP_markdown.html

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