@inproceedings{Nazemi2023,

title = {Artificial Intelligence in Visual Analytics},

author = {Kawa Nazemi},

doi = {10.1109/IV60283.2023.00048},

year  = {2023},

date = {2023-11-30},

urldate = {2023-11-30},

booktitle = {Proceedings of the 27th International Conference Information Visualisation (IV2023), Best Paper Award},

journal = {Proceedings of the 27th International Conference Information Visualisation (IV2023) - Best Paper Award-},

pages = {230 - 237},

publisher = {IEEE CPS},

abstract = {Visual Analytics that combines automated methods with information visualization has emerged as a powerful approach to analytical reasoning. The integration of artificial intelligence techniques into Visual Analytics has enhanced its capabilities but also presents challenges related to interpretability, explainability, and decision-making processes. Visual Analytics may use artificial intelligence methods to provide enhanced and more powerful analytical reasoning capabilities. Furthermore, Visual Analytics can be used to interpret black-box artificial intelligence models and provide a visual explanation of those models. In this paper, we provide an overview of the state-of-the-art of artificial intelligence techniques used in Visual Analytics, focusing on both explainable artificial intelligence in Visual Analytics and the human knowledge generation process through Visual Analytics. We review explainable artificial intelligence approaches in Visual Analytics and propose a revised Visual Analytics model for Explainable artificial intelligence based on an existing model. We then conduct a screening review of artificial intelligence methods in Visual Analytics from two time periods to highlight recently used artificial intelligence approaches in Visual Analytics. Based on this review, we propose a revised task model for tasks in Visual Analytics. Our contributions include a state-of-the-art review of explainable artificial intelligence in Visual Analytics, a revised model for creating explainable artificial intelligence through Visual Analytics, a screening review of recent artificial intelligence methods in Visual Analytics, and a revised task model for generic tasks in Visual Analytics.},

keywords = {Artificial Intelligence, Visual Analytical Reasoning, Visual analytics, Visual Tasks},

pubstate = {published},

tppubtype = {inproceedings}

}