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aaai_2020_xai_tutorial_Explainable AI.pdf

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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
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