WaiTUTORIALS: Low-Code Python for XAI
An introduction to accessible Low-Code Python tools that can be used to explain the output of a range of Machine Learning models.
Key Takeaways:
Model-Specific and Model-Agnostic XAI Tools
Applications of SHAP in Explainability
Overview of XAI (eXplainable Artificial Intelligence)
Advantages of Low-Code Python for XAI
Slides: https://docs.google.com/presentation/...
Speaker:
Jennifer Loftus is an actuary and an accountant with over 20 years of experience in the insurance industry. She is an Executive Director of Acorn Life where she holds the roles of Group CFO, Chief Risk Officer, and Head of Actuarial Function. She is also an Independent Non-Executive Director of Vhi, Ireland’s largest health insurer. Jennifer holds an MSc in Data Analytics and is an Ambassador for Women in Data Science Worldwide. She is a member of the Institute and Faculty of Actuaries (UK) Actuarial Data Science Working Party and the Society of Actuaries in Ireland Data Science Committee. Jennifer received the Society of Actuaries in Ireland’s Outstanding Contribution award for her work in promoting gender balance and data science within the profession.
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