Dear All,
we submitted a workshop paper "ModelSpeX: Model Specification Using
Explainable Artificial Intelligence Methods" to the**MLVis 2020
Workshop. We request to acknowledge SPARTA if the paper is accepted.
Abstract:
* /Explainable artificial intelligence (XAI) methods aim to reveal the
non-transparent decision-making mechanisms of black-box models
(e.g., deep learning models). The evaluation of insight generated by
such XAI methods remains challenging as the applied techniques
depend on many factors (e.g., parameters, human interpretation). We
propose ModelSpeX, a visual analytics workflow to interactively
extract human-centered rule-sets to generate model specifications
from black-box models. The workflow enables to reason about the
underlying problem, to extract rule sets, and to evaluate the
suitability of the models for a particular task. An exemplary usage
scenario walks an analyst trough the steps of the workflow to show
the applicability.//
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/
Best Regards,
Eren Cakmak