AH7: On Explainable AI: From Theory to Motivation, Industrial Applications, XAI Coding & Engineering Practices Freddy Lecue, Fosca Giannotti, Riccardo Guidotti and Pasquale Minervini
This is:
- Part IV: XAI Tools, Coding and Engineering Practices - 40 minutes of Tutorial
- https://github.com/flecue/xai-aaai2022
Other parts are as following in:
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http://www-sop.inria.fr/members/Freddy.Lecue/presentation/aaai_2022_xai_tutorial.pdf (available on Feb.23.2022)
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Part I: Introduction and Motivation - 20 minutes
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Part II: Explanation in AI (not only Machine Learning!) - 40 minutes
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Part III: On The Role of Knowledge Graphs in Explainable Machine Learning - 40 minutes
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Part IV: XAI Tools, Coding and Engineering Practices - 40 minutes
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Part V: XAI Applications, Lessons Learnt and Research Challenges - 40 minutes