Thursday, April 4, 2024 - 15:00
TECHNICAL WORKSHOP SERIES
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)
Abstract:
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
• Conclusion
Prerequisites:
• Basic Understanding of Machine Learning and AI
• Understanding of Model Training and Evaluation
Biography:
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.