Workshopbeitrag
Immersive Exploration of Machine Learning Data Combining Visual Analytics with Explainable AI
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Datum
2023
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Verlag
GI
Zusammenfassung
With the need to explain complex machine learning (ML) models it is necessary to explore human friendly visualizations and interaction techniques of data. In our position paper, we discuss a unique way for interacting with machine learning data to help decision makers in developing a mental model. This can increase trust towards the ML models and make the complexity digestible. In our approach, we combine visual analytics with explainable AI. In particular, we present a Mixed Reality based scatterplot application making use of SHAP values, where feature axes are automatically adjusted when diving deeper into parts of the data.