14:00-14:10 Opening remarks

14:10-15:00 Prof. Gal Chechik, Bar Ilan University

"Explaining visual understanding: Learn to reason about the perceived world"

15:00-15:50 Prof. Irad E. Ben-Gal, Tel Aviv University

"XAI and Information Gain in Time Series"

15:50-16:20 Break

16:20-16:50 Eyal Shulman, Tel Aviv University

"Meta Decision Trees for Explainable Recommendation Systems"

16:50-17:40 Ephraim Goldin, G-Stat

"Opening the blackbox - explaining supervised advanced machine learning models"

17:40-18:00 Break

18:00-18:50 Dr. Ronny Luss, IBM Research (live from New York)

"One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques"

18:50-19:00 Closing remarks

Link to abstracts