Part 1 of the tutorial (fundamentals) will provide sufficient background to XAI for attendees to enjoy, understand the context of and benefit from the main parts of the tutorial. Part 2 will explain which visualization techniques are effective for different XAI tasks, based on data types and the visual patterns that reveal insights, include a test about issues and misleading visualizations, then provide a hands-on practical challenge.
Most of the visualization techniques are well-known (e.g., scatterplots, bar charts and heat maps) but others are more unusual (e.g., violin and beeswarm plots). Part 3 will focus on scalability, explaining how visualizations break down as AI models become larger or more complex, and then describing exemplar solutions that: (a) modify an existing visualization, or (b) involve additional visualizations. That will be followed by a hands-on practical challenge.
Agenda
1. Fundamentals
- Welcome & introduction
- What is XAI?
- XAI stages & tasks
2. Visualization
- What viz technique (XAI task mapping)
- Misleading visualizations
- A test!
- Hands-on practical challenge
3. Scalability
- How do visualizations break down and possible solutions?
- Autonomous driving example
- Hands-on scalability challenge
- Wrap-up
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