TECHNICAL WORKSHOP SERIES - Introducing LIME and SHAP (1st Offering) by Nasrin Tavakoli

Thursday, April 4, 2024 - 15:00


Introducing LIME and SHAP (1st Offering)

Presenter: Nasrin Tavakoli

Date: Thursday, April 4th, 2024

Time: 3:00 PM

Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)


The session unfolds with a comprehensive review of XAI, exploring its pivotal role in enhancing the interpretability of complex machine learning models. Delve into the specifics of LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations), two leading methodologies in the XAI landscape. Participants will gain a nuanced understanding of how LIME crafts locally faithful explanations, while SHAP employs cooperative game theory to reveal global feature contributions. A critical comparison between LIME and SHAP will unravel their distinct attributes, empowering attendees to make informed choices in their XAI endeavors.
Workshop Outline:
A review of Explainable AI (XAI)
LIME: Local Interpretable Model-agnostic Explanations
SHAP: SHapley Additive exPlanations
Comparing LIME and SHAP
Basic Understanding of Machine Learning and AI
Understanding of Model Training and Evaluation
Nasrin Tavakoli is a Ph.D. student in computer science at the University of Windsor. Her field of study has been Artificial Intelligence and Machine Learning, and she is researching Explainable AI, in the Ph.D. program.

MAC STUDENTS ONLY - Register here