Going beyond Visualization : Verbalization as Complementary Medium to Explain Machine Learning Models

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2018
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Beck, Fabian
Ell, Basil
Turkay, Cagatay
Henkin, Rafael
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Workshop on Visualization for AI Explainability at IEEE VIS
Abstract
In this position paper, we argue that a combination of visualization and verbalization techniques is beneficial for creating broad and versatile insights into the structure and decision-making processes of machine learning models. Explainability of machine learning models is emerging as an important area of research. Hence, insights into the inner workings of a trained model allow users and analysts, alike, to understand the models, develop justifications, and gain trust in the systems they inform. Explanations can be generated through different types of media, such as visualization and verbalization. Both are powerful tools that enable model interpretability. However, while their combination is arguably more powerful than each medium separately, they are currently applied and researched independently. To support our position that the combination of the two techniques is beneficial to explain machine learning models, we describe the design space of such a combination and discuss arising research questions, gaps, and opportunities.
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004 Computer Science
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Workshop on Visualization for AI Explainability at IEEE VIS, Oct 22, 2018, Berlin
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Cite This
ISO 690SEVASTJANOVA, Rita, Fabian BECK, Basil ELL, Cagatay TURKAY, Rafael HENKIN, Miriam BUTT, Daniel A. KEIM, Mennatallah EL-ASSADY, 2018. Going beyond Visualization : Verbalization as Complementary Medium to Explain Machine Learning Models. Workshop on Visualization for AI Explainability at IEEE VIS. Berlin, Oct 22, 2018. In: Workshop on Visualization for AI Explainability at IEEE VIS
BibTex
@inproceedings{Sevastjanova2018Going-45045,
  year={2018},
  title={Going beyond Visualization : Verbalization as Complementary Medium to Explain Machine Learning Models},
  url={https://scibib.dbvis.de/uploadedFiles/GoingbeyondVisualizationVerbalizationasComplementaryMediumtoExplainMachineLearningModels.pdf},
  booktitle={Workshop on Visualization for AI Explainability at IEEE VIS},
  author={Sevastjanova, Rita and Beck, Fabian and Ell, Basil and Turkay, Cagatay and Henkin, Rafael and Butt, Miriam and Keim, Daniel A. and El-Assady, Mennatallah}
}
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