הסדנה תתקיים ב 3 במרץ 2020 בפייסבוק (שרונה, דרך מנחם בגין 121 תל אביב) בשעות 14:00-19:00
Program:
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
Registration here