Explainable AI in Industry
AAAI 2020 Tutorial
Freddy Lecue, Krishna Gade, Sahin Cem Geyik,
Krishnaram Kenthapadi, Varun Mithal, Ankur Taly,
Riccardo Guidotti, Pasquale Minervini
https://xaitutorial2020.github.io 1
Outline
2
Agenda
● Part I: Introduction and Motivation
○ Motivation, Definitions, Properties, Evaluation
○ Challenges for Explainable AI @ Scale
● Part II: Explanation in AI (not only Machine Learning!)
○
From Machine Learning to Knowledge Representation and Reasoning and Beyond
● Part III: Explainable Machine Learning (from a Machine Learning Perspective)
● Part IV: Explainable Machine Learning (from a Knowledge Graph Perspective)
● Part V: Case Studies from Industry
○ Applications, Lessons Learned, and Research Challenges
3
Scope
4
AI Adoption: Requirements
Introduction and Motivation
6
Explanation - From a Business Perspective
7
Business to Customer AI