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Explainable AI: The new 42?

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Figure

Fig. 2. The goal is to generateandrelevant. In contrast, explanations that are both image relevant and class descriptions are image relevant, but not necessarily class relevant, definitions are class relevant but not necessarily image relevant.
Fig. 3. A joint classification and explanation model [7]. Visual features are extractedusing a fine-grained classifier before sentence generation; unlike other sentence genera-tion models, condition sentence generation on the predicted class label
Fig. 4. Left: ACT-X qualitative results: For each image the PJ-X model provides ananswer and a justification, and points to the evidence for that justification
Fig. 5. Explaining the decisions made by the VGG-16 (park bench, street sign, racket,cockatoo, traffic light and chihuahua), our approach highlights the most discriminativeregion in the image.
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